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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:
In the following table: first – the index of the first element in the slice; last – the index of the last element in the slice; end – one more than the index of last element in the slice; len – the length of the slice (= end - first) step – the number of array elements in each (default 1)
# is the length operator for tables and strings. array [0] = "z"-- Zero is a legal index. print (# array)-- Still prints 4, as Lua arrays are 1-based. The length of a table t is defined to be any integer index n such that t[n] is not nil and t[n+1] is nil ; moreover, if t[1] is nil , n can be zero.
This program creates a Lua state, passes the Lua state to IUPLua for initialization, and then opens and executes a Lua script against the Lua state. Or, the entire IUP state can be dynamically loaded via use of a Lua require or package.loadlib of IUPLua. The script(s) can later be compiled with the Lua compiler if needed.
The framework is cross-platform supporting the platforms Microsoft Windows, macOS, Linux, Android, and iOS. The API provided by the framework gives access to the video and sound functions of the host machine through the libraries SDL and OpenGL, or since version 0.10 also OpenGL ES 2 and 3. [3] Fonts can be rendered by the FreeType engine. [4]
Java: strong [8] explicit nominal static JavaScript: weak implicit — dynamic Julia: strong implicit with optional explicit typing [9] structural for implicit typing, nominal for explicit typing dynamic Joy: strong dynamic Kotlin: strong partially implicit (local type inference) nominal static LabVIEW: strong Lua: strong implicit dynamic Maple ...
FlatBuffers can be used in software written in C++, C#, C, Go, Java, JavaScript, Kotlin, Lobster, Lua, PHP, Python, Rust, Swift, and TypeScript. The schema compiler runs on Android , Microsoft Windows , macOS , and Linux , [ 3 ] but games and other programs use FlatBuffers for serialization work on many other operating systems as well ...
The most frequently used general-purpose implementation of an associative array is with a hash table: an array combined with a hash function that separates each key into a separate "bucket" of the array. The basic idea behind a hash table is that accessing an element of an array via its index is a simple, constant-time operation.