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It will also work on arrays,-- but for arrays it is more efficient to use the # operator.-----function p. size (t) checkType ('size', 1, t, 'table') local i = 0 for _ in pairs (t) do i = i + 1 end return i end local function defaultKeySort (item1, item2)-- "number" < "string", so numbers will be sorted before strings. local type1, type2 = type ...
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:
The torch.class(classname, parentclass) function can be used to create object factories . When the constructor is called, torch initializes and sets a Lua table with the user-defined metatable, which makes the table an object.
Support for multi-dimensional arrays may also be provided by external libraries, which may even support arbitrary orderings, where each dimension has a stride value, and row-major or column-major are just two possible resulting interpretations. Row-major order is the default in NumPy [19] (for Python).
A table is a sequence, optionally supplemented by named keys: digit["two"]="2". Several table functions like table.concat will only work with the numbered values and ignore named keys. The metatable offers a large, optional set of methods for altering table behavior. For example, you can define a table to be callable like a function.
Madagascar is a software package for multidimensional data analysis and reproducible computational experiments.. Technology developed using the Madagascar project management system is transferred in the form of recorded processing histories, which become "computational recipes" to be verified, exchanged, and modified by users of the system.
Dust bunnies beware: This whisper-quiet floor cleaner easily glides under sofas and runs for up to two hours. It's just $100 and will arrive by Christmas.
Functional programming – uses evaluation of mathematical functions and avoids state and mutable data Generic programming – uses algorithms written in terms of to-be-specified-later types that are then instantiated as needed for specific types provided as parameters