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On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox , Edge , and Chrome Alt-Shift + X ).
Maps (Worlds) can be generated, either randomly, using a seed, or via third party tools. The distribution of POIs and loot is also generative. Anarchy Online: 2001 Funcom Mission rewards, loot, dungeon layout, and location on the world map can be generated based on selections made at mission terminals. [6] [unreliable source] Astroneer: 2019
Random maps typically have a certain theme - for example a naval random map with many small islands, or a 'gold rush' map with a large amount of gold in the center of the map. The type of random map may also influence the game's artificial intelligence, with the AI employing different strategies optimized for each random map. Methods for ...
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Default generator in R and the Python language starting from version 2.3. Xorshift: 2003 G. Marsaglia [26] It is a very fast sub-type of LFSR generators. Marsaglia also suggested as an improvement the xorwow generator, in which the output of a xorshift generator is added with a Weyl sequence.
In computer science, a multimap (sometimes also multihash, multidict or multidictionary) is a generalization of a map or associative array abstract data type in which more than one value may be associated with and returned for a given key. Both map and multimap are particular cases of containers (for example, see C++ Standard Template Library ...
Use the name of the map as the first unnamed parameter. For example, specifying England will use the values for England in Module:Location map/data/England if it exists, or {{Location map England}} otherwise. See the examples below. width: Determines the width of the map in pixels. The default is 240.
Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers: