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In computer programming, several language mechanisms exist for exception handling. The term exception is typically used to denote a data structure storing information about an exceptional condition. One mechanism to transfer control, or raise an exception, is known as a throw; the exception is said to be thrown. Execution is transferred to a catch.
try { % code that might throw an exception } catch SomeError: { % code that handles this exception } catch SomeOtherError: { % code that handles this exception } finally % optional block { % This code will always get executed }
Social pressure is a major influence on the scope of exceptions and use of exception-handling mechanisms, i.e. "examples of use, typically found in core libraries, and code examples in technical books, magazine articles, and online discussion forums, and in an organization’s code standards". [10] Exception handling solves the semipredicate ...
Scala's operational characteristics are the same as Java's. The Scala compiler generates byte code that is nearly identical to that generated by the Java compiler. [15] In fact, Scala code can be decompiled to readable Java code, with the exception of certain constructor operations. To the Java virtual machine (JVM), Scala code and Java code ...
However, certain calculations may result in the program attempting to evaluate an infinite number of elements; for example, requesting the length of the list or trying to sum the elements of the list with a fold operation would result in the program either failing to terminate or running out of memory. As another example, the list of all ...
A port for Windows was maintained separately between 2002 and 2003. [6] The sources have been archived on GitLab. [7] There are also older forks on GitHub. [8] The project is continuously evolving. The list of supported programming languages is updated approximately once per year, following market trends.
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An actor implementation, written by Philipp Haller, was released in July 2006 as part of Scala 2.1.7. [4] By 2008 Scala was attracting attention for use in complex server applications, but concurrency was still typically achieved by creating threads that shared memory and synchronized when necessary using locks.