Mercurial > games > semicongine
comparison src/matrix.nim @ 13:a571db114152
add: vector/matrix modules, tests, nim config script
author | Sam <sam@basx.dev> |
---|---|
date | Wed, 28 Dec 2022 11:42:21 +0700 |
parents | |
children | 617c6dcddbe2 |
comparison
equal
deleted
inserted
replaced
12:9e5fe647ff91 | 13:a571db114152 |
---|---|
1 import random | |
2 import std/strutils | |
3 import std/typetraits | |
4 | |
5 import ./vector | |
6 | |
7 type | |
8 # layout is row-first | |
9 # having an object instead of directly aliasing the array seems a bit ugly at | |
10 # first, but is necessary to be able to work correctly with distinguished | |
11 # types (i.e. Mat23 and Mat32 would be an alias for the same type array[6, T] | |
12 # which prevents the type system from identifying the correct type at times) | |
13 # | |
14 # Though, great news is that objects have zero overhead! | |
15 Mat22*[T: SomeNumber] = object | |
16 data: array[4, T] | |
17 Mat23*[T: SomeNumber] = object | |
18 data: array[6, T] | |
19 Mat32*[T: SomeNumber] = object | |
20 data: array[6, T] | |
21 Mat33*[T: SomeNumber] = object | |
22 data: array[9, T] | |
23 Mat34*[T: SomeNumber] = object | |
24 data: array[12, T] | |
25 Mat43*[T: SomeNumber] = object | |
26 data: array[12, T] | |
27 Mat44*[T: SomeNumber] = object | |
28 data: array[16, T] | |
29 MatMM* = Mat22|Mat33|Mat44 | |
30 MatMN* = Mat23|Mat32|Mat34|Mat43 | |
31 Mat* = MatMM|MatMN | |
32 IntegerMat = Mat22[SomeInteger]|Mat33[SomeInteger]|Mat44[SomeInteger]|Mat23[SomeInteger]|Mat32[SomeInteger]|Mat34[SomeInteger]|Mat43[SomeInteger] | |
33 FloatMat = Mat22[SomeFloat]|Mat33[SomeFloat]|Mat44[SomeFloat]|Mat23[SomeFloat]|Mat32[SomeFloat]|Mat34[SomeFloat]|Mat43[SomeFloat] | |
34 | |
35 | |
36 func rowCount*(m: Mat22): int = 2 | |
37 func columnCount*(m: Mat22): int = 2 | |
38 func rowCount*(m: Mat23): int = 2 | |
39 func columnCount*(m: Mat23): int = 3 | |
40 func rowCount*(m: Mat32): int = 3 | |
41 func columnCount*(m: Mat32): int = 2 | |
42 func rowCount*(m: Mat33): int = 3 | |
43 func columnCount*(m: Mat33): int = 3 | |
44 func rowCount*(m: Mat34): int = 3 | |
45 func columnCount*(m: Mat34): int = 4 | |
46 func rowCount*(m: Mat43): int = 4 | |
47 func columnCount*(m: Mat43): int = 3 | |
48 func rowCount*(m: Mat44): int = 4 | |
49 func columnCount*(m: Mat44): int = 4 | |
50 | |
51 | |
52 func toString[T](value: T): string = | |
53 var | |
54 strvalues: seq[string] | |
55 maxwidth = 0 | |
56 | |
57 for n in value.data: | |
58 let strval = $n | |
59 strvalues.add(strval) | |
60 if strval.len > maxwidth: | |
61 maxwidth = strval.len | |
62 | |
63 for i in 0 ..< strvalues.len: | |
64 let filler = " ".repeat(maxwidth - strvalues[i].len) | |
65 if i mod value.columnCount == value.columnCount - 1: | |
66 result &= filler & strvalues[i] & "\n" | |
67 else: | |
68 if i mod value.columnCount == 0: | |
69 result &= " " | |
70 result &= filler & strvalues[i] & " " | |
71 result = $T & "\n" & result | |
72 | |
73 func `$`*(v: Mat22[SomeNumber]): string = toString[Mat22[SomeNumber]](v) | |
74 func `$`*(v: Mat23[SomeNumber]): string = toString[Mat23[SomeNumber]](v) | |
75 func `$`*(v: Mat32[SomeNumber]): string = toString[Mat32[SomeNumber]](v) | |
76 func `$`*(v: Mat33[SomeNumber]): string = toString[Mat33[SomeNumber]](v) | |
77 func `$`*(v: Mat34[SomeNumber]): string = toString[Mat34[SomeNumber]](v) | |
78 func `$`*(v: Mat43[SomeNumber]): string = toString[Mat43[SomeNumber]](v) | |
79 func `$`*(v: Mat44[SomeNumber]): string = toString[Mat44[SomeNumber]](v) | |
80 | |
81 func `[]`*[T: Mat](m: T, row, col: int): auto = m.data[col + row * m.columnCount] | |
82 proc `[]=`*[T: Mat, U](m: var T, row, col: int, value: U) = m.data[col + row * m.columnCount] = value | |
83 | |
84 func row*[T: Mat22](m: T, i: 0..1): auto = Vec2([m[i, 0], m[i, 1]]) | |
85 func row*[T: Mat32](m: T, i: 0..2): auto = Vec2([m[i, 0], m[i, 1]]) | |
86 func row*[T: Mat23](m: T, i: 0..1): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) | |
87 func row*[T: Mat33](m: T, i: 0..2): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) | |
88 func row*[T: Mat43](m: T, i: 0..3): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) | |
89 func row*[T: Mat34](m: T, i: 0..2): auto = Vec4([m[i, 0], m[i, 1], m[i, 2], m[i, 3]]) | |
90 func row*[T: Mat44](m: T, i: 0..3): auto = Vec4([m[i, 0], m[i, 1], m[i, 2], m[i, 3]]) | |
91 | |
92 func col*[T: Mat22](m: T, i: 0..1): auto = Vec2([m[0, i], m[1, i]]) | |
93 func col*[T: Mat23](m: T, i: 0..2): auto = Vec2([m[0, i], m[1, i]]) | |
94 func col*[T: Mat32](m: T, i: 0..1): auto = Vec3([m[0, i], m[1, i], m[2, i]]) | |
95 func col*[T: Mat33](m: T, i: 0..2): auto = Vec3([m[0, i], m[1, i], m[2, i]]) | |
96 func col*[T: Mat34](m: T, i: 0..3): auto = Vec3([m[0, i], m[1, i], m[2, i]]) | |
97 func col*[T: Mat43](m: T, i: 0..2): auto = Vec4([m[0, i], m[1, i], m[2, i], m[3, i]]) | |
98 func col*[T: Mat44](m: T, i: 0..3): auto = Vec4([m[0, i], m[1, i], m[2, i], m[3, i]]) | |
99 | |
100 func transposed*[T](m: Mat22[T]): Mat22[T] = Mat22[T](data: [ | |
101 m[0, 0], m[1, 0], | |
102 m[0, 1], m[1, 1], | |
103 ]) | |
104 func transposed*[T](m: Mat23[T]): Mat32[T] = Mat32[T](data: [ | |
105 m[0, 0], m[1, 0], | |
106 m[0, 1], m[1, 1], | |
107 m[0, 2], m[1, 2], | |
108 ]) | |
109 func transposed*[T](m: Mat32[T]): Mat23[T] = Mat23[T](data: [ | |
110 m[0, 0], m[1, 0], m[2, 0], | |
111 m[0, 1], m[1, 1], m[2, 1], | |
112 ]) | |
113 func transposed*[T](m: Mat33[T]): Mat33[T] = Mat33[T](data: [ | |
114 m[0, 0], m[1, 0], m[2, 0], | |
115 m[0, 1], m[1, 1], m[2, 1], | |
116 m[0, 2], m[1, 2], m[2, 2], | |
117 ]) | |
118 func transposed*[T](m: Mat43[T]): Mat34[T] = Mat34[T](data: [ | |
119 m[0, 0], m[1, 0], m[2, 0], m[3, 0], | |
120 m[0, 1], m[1, 1], m[2, 1], m[3, 1], | |
121 m[0, 2], m[1, 2], m[2, 2], m[3, 2], | |
122 ]) | |
123 func transposed*[T](m: Mat34[T]): Mat43[T] = Mat43[T](data: [ | |
124 m[0, 0], m[1, 0], m[2, 0], | |
125 m[0, 1], m[1, 1], m[2, 1], | |
126 m[0, 2], m[1, 2], m[2, 2], | |
127 m[0, 3], m[1, 3], m[2, 3], | |
128 ]) | |
129 func transposed*[T](m: Mat44[T]): Mat44[T] = Mat44[T](data: [ | |
130 m[0, 0], m[1, 0], m[2, 0], m[3, 0], | |
131 m[0, 1], m[1, 1], m[2, 1], m[3, 1], | |
132 m[0, 2], m[1, 2], m[2, 2], m[3, 2], | |
133 m[0, 3], m[1, 3], m[2, 3], m[3, 3], | |
134 ]) | |
135 | |
136 # call e.g. Mat32[int]().initRandom() to get a random matrix | |
137 template makeRandomInit(mattype: typedesc) = | |
138 proc randomized*[T: SomeInteger](m: mattype[T]): mattype[T] = | |
139 for i in 0 ..< result.data.len: | |
140 result.data[i] = rand(low(typeof(m.data[0])) .. high(typeof(m.data[0]))) | |
141 proc randomized*[T: SomeFloat](m: mattype[T]): mattype[T] = | |
142 for i in 0 ..< result.data.len: | |
143 result.data[i] = rand(1.0) | |
144 | |
145 makeRandomInit(Mat22) | |
146 makeRandomInit(Mat23) | |
147 makeRandomInit(Mat32) | |
148 makeRandomInit(Mat33) | |
149 makeRandomInit(Mat34) | |
150 makeRandomInit(Mat43) | |
151 makeRandomInit(Mat44) |