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6.1.2.44 2016-11-11 Windows, Linux, macOS, FreeBSD, OpenBSD, Solaris: C#: Gtk# LGPL: Unknown Unknown Yes Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Ninja-IDE: Team 2.4 2019-06-23 [55] Cross-platform: Python: PyQt: GPL: Yes (Python 2.7) Yes Yes (with wdebugger plugin) Un ...
The Computer Language Benchmarks Game site warns against over-generalizing from benchmark data, but contains a large number of micro-benchmarks of reader-contributed code snippets, with an interface that generates various charts and tables comparing specific programming languages and types of tests.
The user can search for elements in an associative array, and delete elements from the array. The following shows how multi-dimensional associative arrays can be simulated in standard AWK using concatenation and the built-in string-separator variable SUBSEP:
Statement separator – demarcates the boundary between two statements; need needed for the last statement Line continuation – escapes a newline to continue a statement on the next line Some languages define a special character as a terminator while some, called line-oriented , rely on the newline .
If the running time (number of comparisons) of merge sort for a list of length n is T(n), then the recurrence relation T(n) = 2T(n/2) + n follows from the definition of the algorithm (apply the algorithm to two lists of half the size of the original list, and add the n steps taken to merge the resulting two lists). [5]
The specific problem is: This article's reference section contains many footnotes, but lists no external references or sources. Please help improve this article if you can. ( June 2013 ) ( Learn how and when to remove this message )
In addition to the operations of an abstract priority queue, the following table lists the complexity of two additional logical operations: increase-key: updating a key. meld: joining two heaps to form a valid new heap containing all the elements of both, destroying the original heaps. Here are time complexities [5] of various heap data structures.
The first and last nodes of a doubly linked list for all practical applications are immediately accessible (i.e., accessible without traversal, and usually called head and tail) and therefore allow traversal of the list from the beginning or end of the list, respectively: e.g., traversing the list from beginning to end, or from end to beginning, in a search of the list for a node with specific ...