mirror of
https://github.com/1bardesign/batteries.git
synced 2024-11-10 02:31:48 +00:00
[modified] renamed stable_sort.lua
to sort.lua
; swapped alias order
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parent
608fa1bca3
commit
00ac480ed9
6
init.lua
6
init.lua
@ -20,7 +20,7 @@ local _batteries = {
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tablex = require_relative("tablex"),
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stringx = require_relative("stringx"),
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--sorting routines
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stable_sort = require_relative("stable_sort"),
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sort = require_relative("sort"),
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--
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functional = require_relative("functional"),
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--collections
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@ -43,7 +43,7 @@ for _, alias in ipairs({
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{"mathx", "math"},
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{"tablex", "table"},
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{"stringx", "string"},
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{"stable_sort", "sort"},
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{"sort", "stable_sort"},
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{"colour", "color"},
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}) do
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_batteries[alias[2]] = _batteries[alias[1]]
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@ -61,7 +61,7 @@ function _batteries:export()
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self.tablex.overlay(table, self.tablex)
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--now we can use it through table directly
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table.overlay(table, self.functional)
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self.stable_sort:export()
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self.sort:export()
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--functional module also available separate from table
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functional = self.functional
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20
readme.md
20
readme.md
@ -10,22 +10,26 @@ Examples [in another repo](https://github.com/1bardesign/batteries-examples) to
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# Module Overview
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- `class` - Single-inheritance oo in a single function.
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**Lua Core Extensions:**
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- `mathx` - Mathematical extensions. Alias `math`.
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- `tablex` - Table handling extensions. Alias `table`.
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- `stringx` - String handling extensions. Alias `string`.
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- `stable_sort` - A stable sorting algorithm that is also, as a bonus, often faster than table.sort under luajit.
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**General Utility:**
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- `class` - Single-inheritance oo in a single function.
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- `functional` - Functional programming facilities. `map`, `reduce`, `any`, `match`, `minmax`, `mean`...
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- `sequence` - An oo wrapper on sequential tables, so you can do `t:insert(i, v)` instead of `table.insert(t, i, v)`. Also supports method chaining for the `functional` interface above, which can save a lot of typing!
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- `sequence` - An oo wrapper on sequential tables, so you can do `t:insert(i, v)` instead of `table.insert(t, i, v)`. Also supports method chaining for the `functional` interface above, which can save a lot of needless typing!
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- `set` - A set type supporting a full suite of set operations with fast membership testing and ipairs-style iteration.
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- `sort` - Provides a stable merge+insertion sorting algorithm that is also, as a bonus, often faster than `table.sort` under luajit. Also exposes `insertion_sort` if needed. Alias `stable_sort`
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- `state_machine` - Finite state machine implementation with state transitions and all the rest. Useful for game states, ai, cutscenes...
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- `async` - Async operations as coroutines.
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- `manual_gc` - Get GC out of your update/draw calls. Useful when trying to get accurate profiling information; moves "randomness" of GC. Requires you to think a bit about your garbage budgets though.
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- `colour` - Colour conversion routines. Alias `color`.
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- `unique_mapping` - Generate a unique mapping from arbitrary lua values to numeric keys - essentially making up a consistent ordering for unordered data. Niche, but can be used to optimise draw batches for example, as you can't sort on textures without it.
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**Geometry:**
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- `intersect` - 2d intersection routines, a bit sparse at the moment
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- `vec2` - 2d vectors with method chaining, garbage saving interface. A bit of a mouthful at times, but you get used to it.
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- `vec3` - 3d vectors as above.
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- `intersect` - 2d intersection routines, a bit sparse at the moment
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**Misc:**
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- `async` - Async operations as coroutines.
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- `colour` - Colour conversion routines. Alias `color`.
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- `manual_gc` - Get GC out of your update/draw calls. Useful when trying to get accurate profiling information; moves "randomness" of GC. Requires you to think a bit about your garbage budgets though.
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- `unique_mapping` - Generate a unique mapping from arbitrary lua values to numeric keys - essentially making up a consistent ordering for unordered data. Niche, but can be used to optimise draw batches for example, as you can't sort on textures without it.
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Aliases are provided at both the `batteries` level and globally when exported.
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@ -1,9 +1,9 @@
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--[[
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stable sorting routines
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various sorting routines
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]]
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--this is based on MIT licensed code from Dirk Laurie and Steve Fisher
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--license as follows:
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--this is based on code from Dirk Laurie and Steve Fisher,
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--used under license as follows:
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--[[
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Copyright © 2013 Dirk Laurie and Steve Fisher.
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@ -29,13 +29,13 @@
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-- (modifications by Max Cahill 2018, 2020)
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local sort_core = {}
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local sort = {}
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--tunable size for insertion sort "bottom out"
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sort_core.max_chunk_size = 32
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sort.max_chunk_size = 32
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--insertion sort on a section of array
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function sort_core._insertion_sort_impl(array, first, last, less)
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function sort._insertion_sort_impl(array, first, last, less)
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for i = first + 1, last do
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local k = first
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local v = array[i]
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@ -52,7 +52,7 @@ function sort_core._insertion_sort_impl(array, first, last, less)
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end
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--merge sorted adjacent sections of array
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function sort_core._merge(array, workspace, low, middle, high, less)
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function sort._merge(array, workspace, low, middle, high, less)
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local i, j, k
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i = 1
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-- copy first half of array to auxiliary array
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@ -85,14 +85,14 @@ function sort_core._merge(array, workspace, low, middle, high, less)
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end
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--implementation for the merge sort
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function sort_core._merge_sort_impl(array, workspace, low, high, less)
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if high - low <= sort_core.max_chunk_size then
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sort_core._insertion_sort_impl(array, low, high, less)
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function sort._merge_sort_impl(array, workspace, low, high, less)
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if high - low <= sort.max_chunk_size then
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sort._insertion_sort_impl(array, low, high, less)
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else
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local middle = math.floor((low + high) / 2)
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sort_core._merge_sort_impl(array, workspace, low, middle, less)
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sort_core._merge_sort_impl(array, workspace, middle + 1, high, less)
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sort_core._merge(array, workspace, low, middle, high, less)
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sort._merge_sort_impl(array, workspace, low, middle, less)
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sort._merge_sort_impl(array, workspace, middle + 1, high, less)
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sort._merge(array, workspace, low, middle, high, less)
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end
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end
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@ -102,7 +102,7 @@ local function default_less(a, b)
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end
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--inline common setup stuff
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function sort_core._sort_setup(array, less)
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function sort._sort_setup(array, less)
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--default less
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less = less or default_less
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--
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@ -119,36 +119,36 @@ function sort_core._sort_setup(array, less)
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return trivial, n, less
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end
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function sort_core.stable_sort(array, less)
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function sort.stable_sort(array, less)
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--setup
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local trivial, n, less = sort_core._sort_setup(array, less)
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local trivial, n, less = sort._sort_setup(array, less)
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if not trivial then
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--temp storage; allocate ahead of time
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local workspace = {}
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local middle = math.ceil(n / 2)
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workspace[middle] = array[1]
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--dive in
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sort_core._merge_sort_impl( array, workspace, 1, n, less )
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sort._merge_sort_impl( array, workspace, 1, n, less )
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end
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return array
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end
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function sort_core.insertion_sort(array, less)
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function sort.insertion_sort(array, less)
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--setup
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local trivial, n, less = sort_core._sort_setup(array, less)
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local trivial, n, less = sort._sort_setup(array, less)
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if not trivial then
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sort_core._insertion_sort_impl(array, 1, n, less)
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sort._insertion_sort_impl(array, 1, n, less)
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end
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return array
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end
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sort_core.unstable_sort = table.sort
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sort.unstable_sort = table.sort
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--export sort core to the global table module
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function sort_core:export()
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table.insertion_sort = sort_core.insertion_sort
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table.stable_sort = sort_core.stable_sort
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table.unstable_sort = sort_core.unstable_sort
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function sort:export()
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table.insertion_sort = sort.insertion_sort
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table.stable_sort = sort.stable_sort
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table.unstable_sort = sort.unstable_sort
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end
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return sort_core
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return sort
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