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@Book{blanchette+summerfield08, author = "Jasmin Blanchette and Mark Summerfield", title = "C++ GUI Programming with Qt 4, Second Edition", year = 2008, publisher = "Prentice Hall" }

flush defines a synchronization point at which memory consistency is enforced This can be subtle Basically, a modern computer can hold values in registers or buffers that are not guaranteed to be consistent with the computer's memory at any given point Cache coherency protocols guarantee that all processors ultimately see a single address space, but they do not guarantee that memory references will be up to date and consistent at every point in time The syntax of flush is

the expected output would be a dictionary like this (here, pretty printed):

{'blanchette+summerfield08': { 'author': 'Jasmin Blanchette and Mark Summerfield', 'publisher': 'Prentice Hall', 'title': 'C++ GUI Programming with Qt 4, Second Edition', 'year': 2008 } }

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compile the code This transforms the human-readable SELECT statement into a form that the SQL Server engine can understand, and the resulting code is an execution plan Execution plans for running views are stored in SQL Server, and the T-SQL code behind them is compiled This process takes time, but with views, the compilation is done only when the view is created This saves you processing each time you call the view The first time a view is called, SQL Server figures out the best way to retrieve the data from the base tables, given the table structure and the indexes in place This execution plan is cached and reused the next time the view is called In our humble opinion, views are probably the most underused feature in SQL Server For some reason, people tend to avoid the use of views or use them in inefficient ways In 11 we look at some of the most beneficial uses for views

#pragma omp flush [(list)]

Each book has an identi er and this should be used as the key for the outer dictionary The value should itself be a dictionary of key value items Each book s identi er can contain any characters except whitespace, and each key=value eld s value can either be an integer or a double-quoted string String values can include arbitrary whitespace including newlines, so replace every internal sequence of whitespace (including newlines) with a single space, and of course strip whitespace from the ends Note that the last key=value for a given book is not followed by a comma Create the parser using either PyParsing or PLY If using PyParsing, the Regex() class will be useful for the identi er and the QuotedString() class will be useful when de ning the value Use the delimitedList() function for handling the list of key=values If using PLY, the lexer is suf cient, providing you use separate tokens for integer and string values A solution using PyParsing should take around 30 lines, while one using PLY might take about 60 lines A solution that includes both PyParsing and PLY functions is provided in BibTeXpy

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