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Start conditions: [18] re2c can generate multiple interrelated lexers, where each lexer is triggered by a certain condition in program. Self-validation: [19] re2c has a special mode in which it ignores all used-defined interface code and generates a self-contained skeleton program. Additionally, re2c generates two files: one with the input ...
In computer science, a generator is a routine that can be used to control the iteration behaviour of a loop. All generators are also iterators. [1] A generator is very similar to a function that returns an array, in that a generator has parameters, can be called, and generates a sequence of values.
Some RW locks allow the lock to be atomically upgraded from being locked in read-mode to write-mode, as well as being downgraded from write-mode to read-mode. Upgrading a lock from read-mode to write-mode is prone to deadlocks, since whenever two threads holding reader locks both attempt to upgrade to writer locks, a deadlock is created that ...
For example, in Java, this guarantee is directly specified: [8] A program is correctly synchronized if and only if all sequentially consistent executions are free of data races. If a program is correctly synchronized, then all executions of the program will appear to be sequentially consistent (§17.4.3).
The simplest reader writer problem which uses only two semaphores and doesn't need an array of readers to read the data in buffer. Please notice that this solution gets simpler than the general case because it is made equivalent to the Bounded buffer problem, and therefore only N readers are allowed to enter in parallel, N being the size of the ...
In programming language theory, lazy evaluation, or call-by-need, [1] is an evaluation strategy which delays the evaluation of an expression until its value is needed (non-strict evaluation) and which avoids repeated evaluations (by the use of sharing).
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This can be translated to an answer over , since for any ,,, [] is a mode for [:] if and only if [] is a mode for [:]. We can convert an answer for B {\displaystyle B} to an answer for A {\displaystyle A} in constant time by looking in A {\displaystyle A} or B {\displaystyle B} at the corresponding index.