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The script at Module:LuaCall has been written to accept any set of named parameters somename=value, for each one storing the string value in the variable with the name somename, and then allowing you to use these variables as parameters for any function available in Lua. The script then returns only the first value returned by the function (Lua ...
In Lua, "table" is a fundamental type that can be used either as an array (numerical index, fast) or as an associative array. The keys and values can be of any type, except nil. The following focuses on non-numerical indexes. A table literal is written as { value, key = value, [index] = value, ["non id string"] = value }. For example:
Lookup, find, or get find the value (if any) that is bound to a given key. The argument to this operation is the key, and the value is returned from the operation. If no value is found, some lookup functions raise an exception, while others return a default value (such as zero, null, or a specific value passed to the constructor).
Also, unlike wp:templates which can be run interactively by edit-preview, the Lua script must be tested by show-preview (or run preview) of another page which uses a template which #invokes the Lua module being edited. In general, make one small change at a time, do a run show-preview, and save after a few good changes to have a version to ...
The C API also provides some special tables, located at various "pseudo-indices" in the Lua stack. At LUA_GLOBALSINDEX prior to Lua 5.2 [21] is the globals table, _G from within Lua, which is the main namespace. There is also a registry located at LUA_REGISTRYINDEX where C programs can store Lua values for later retrieval.
Scribunto Lua reference manual; Programming in Lua; Introduction to Lua patterns; About regex. Lua "patterns" are based on Regex (Patterns are a reduced set of regex). Help:Lua metamodules: Lua in Wikipedia has several meta-modules available that can make core functions easily available.
In computer science, a lookup table (LUT) is an array that replaces runtime computation with a simpler array indexing operation, in a process termed as direct addressing.The savings in processing time can be significant, because retrieving a value from memory is often faster than carrying out an "expensive" computation or input/output operation. [1]
Some compiled languages such as Ada and Fortran, and some scripting languages such as IDL, MATLAB, and S-Lang, have native support for vectorized operations on arrays. For example, to perform an element by element sum of two arrays, a and b to produce a third c , it is only necessary to write