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There is really no good way to know all the keywords, although there are some references on the Internet, so your best bet is to use the compiler and a little common sense If you have been around SQL Server for any length of time, you will recognize many keywords Just remember that if it s a command that can be used to do something in SQL Server, then it s probably a keyword Additionally, you can find a complete list of in Appendix C, SQL Server 2008 Reserved Words What s the big deal Why can t you use keywords for object names First of all, it can confuse other people who are trying to read a script that was written against the database Second, and more importantly, it confuses the T-SQL compiler When SQL Server encounters a script like the one that follows, it can t make heads or tails of the syntax and throws an error

The second class decorator we will review was also used in 6 When we implemented the FuzzyBool class we mentioned that we had supplied only the __lt__() and __eq__() special methods (for < and ==), and had generated all the other comparison methods automatically What we didn t show was the complete start of the class de nition:

@Utilcomplete_comparisons class FuzzyBool:

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It is much more difficult to define sequentially equivalent programs when the code mentions either a thread ID or the number of threads Algorithms that reference thread IDs and the number of threads tend to favor particular threads or even particular numbers of threads, a situation that is dangerous when the goal is a sequentially equivalent program When an algorithm depends on the thread ID, the programmer is using the SPMD pattern This may be confusing SPMD programs can be loop based In fact, many of the examples in the SPMD pattern are indeed loop based algorithms But they are not instances of the Loop Parallelism pattern, because they display the hallmark trait of an SPMD program namely, they use the UE ID to guide the algorithm Finally, we've assumed that a directive based system such as OpenMP is available when using this pattern It is possible, but clearly more difficult, to apply this pattern without such a directive based programming environment For example, in object oriented designs, one can use the Loop Parallelism pattern by making clever use of anonymous classes with parallel iterators Because the parallelism is buried in the iterators, the conditions of sequential equivalence can be met

The other four comparison operators were provided by the complete_comparisons() class decorator Given a class that de nes only < (or < and ==), the decorator produces the missing comparison operators by using the following logical equivalences: x=y x y x>y x y x y (x < y y < x) (x = y) y<x (y < x) (x < y)

If the class to be decorated has < and ==, the decorator will use them both, falling back to doing everything in terms of < if that is the only operator

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In almost every application of this pattern, especially when used with OpenMP, the assumption is made that the program will execute on a computer that has multiple PEs sharing a single address space This address space is assumed to provide equal time access to every element of memory Unfortunately, this is usually not the case Memories on modern computers are hierarchical There are caches on the PEs, memory modules packaged with subsets of PEs, and other complications While great effort is made in designing shared memory multiprocessor computers to make them act like symmetric multiprocessor (SMP) computers, the fact is that all shared memory computers display

supplied (In fact, Python automatically produces > if < is supplied, != if == is supplied, and >= if <= is supplied, so it is suf cient to just implement the three operators <, <=, and == and to leave Python to infer the others However, using the class decorator reduces the minimum that we must implement to just < This is convenient, and also ensures that all the comparison operators use the same consistent logic)

def complete_comparisons(cls): assert cls__lt__ is not object__lt__, ( "{0} must define < and ideally =="format(cls__name__)) if cls__eq__ is object__eq__: cls__eq__ = lambda self, other: (not (cls__lt__(self, other) or cls__lt__(other, self))) cls__ne__ = lambda self, other: not cls__eq__(self, other) cls__gt__ = lambda self, other: cls__lt__(other, self) cls__le__ = lambda self, other: not cls__lt__(other, self) cls__ge__ = lambda self, other: not cls__lt__(self, other) return cls

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