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Java does not provide an explicit flush construct as in OpenMP In fact, the Java memory model[3] is not defined in terms of flush operations, but in terms of constraints on visibility and ordering with respect to locking operations The details are complicated, but the general idea is not: Suppose thread 1 performs some operations while holding lock L and then releases the lock, and then thread 2 acquires lock L The rule is that all writes that occurred in thread 1 before thread 1 released the lock are visible in thread 2 after it acquires the lock Further, when a thread is started by invoking its start method, the started thread sees all writes visible to the caller at the call point Similarly, when a thread calls join, the caller will see all writes performed by the terminating thread

None: Inserting a new instance has no effect on the child entity None: This does not affect any records in the child entity, nor does it prevent updates that result in mismatched data between the parent and child entities Restrict: Checks data in the primary key value of the parent entity against the foreign key value of the child entity If the value does not match, prevents the update from taking place Cascade: Duplicates changes in the primary key value of the parent entity to the foreign key value in the child entity Null (Set Null): Similar to Restrict; if the value does not match, sets the child foreign key value to NULL and permits the update

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The problem seems to be simply a matter of Python syntax we can t refer to var_list before we have de ned it PyParsing offers a solution to this: We can create an empty parser element using Forward(), and then later on we can append parse elements including itself to it So now we can try again

var_list = Forward() var_list << (variable | variable + Suppress(",") + var_list) # WRONG!

This second version is syntactically valid, but again, it goes against the grain of how PyParsing works and as part of a larger parser its use could lead to a parser that is very slow, or that simply doesn t work (Note that we must use parentheses to ensure that the whole right-hand expression is appended and not just the rst part because << has a higher precedence level than |, that is, it binds more tightly than |) Although its use is not appropriate here, the Forward() class is very useful in other contexts, and we will use it in a couple of the examples in the following subsections Instead of using Forward() in situations like this, there are alternative coding patterns that go with the PyParsing grain Here is the simplest and most literal version:

Java is one of the first languages where an attempt was made to specify its memory model precisely The original specification has been criticized for imprecision as well as for not supporting certain synchronization idioms while at the same time disallowing some reasonable compiler optimizations A new specification for Java 2 15 is described in [JSRa] In this book, we assume the new specification Java allows variables to be declared as volatile When a variable is marked volatile, all writes to the variable are guaranteed to be immediately visible, and all reads are guaranteed to obtain the last value written Thus, the compiler takes care of memory synchronization issues for volatiles[4] In a Java version of a program containing the fragment (where done is expected to be set by another thread)

var_list = variable + ZeroOrMore(Suppress(",") + variable)

None: This does not affect any records in the child entity; it may result in orphaned instances in the child entity Restrict: Checks data in the primary key value of the parent entity against the foreign key value of the child entity If the value does not match, prevents the delete from taking place Cascade: Deletes all matching entries from the child entity (in addition to the instance in the parent entity) based on the match of primary key value and foreign key value between the entities Null (Set Null): Similar to Restrict; if the value does not match, sets the child foreign key value to NULL (or a specified default value) and permits the delete This creates orphaned instances in the child entity

This pattern is ideal for handling binary operators, for example:

From the point of view of the rule stated previously, reading a volatile variable is defined to have the same effect with regard to memory synchronization as acquiring a lock associated with the variable, whereas writing has the same effect as releasing a lock

plus_expression = operand + ZeroOrMore(Suppress("+") + operand)

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