Mercurial > games > semicongine
annotate src/zamikongine/math/matrix.nim @ 29:da922b506570
add: corret make dependencies
author | Sam <sam@basx.dev> |
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date | Sat, 14 Jan 2023 14:08:23 +0700 |
parents | 71bbe11d8de8 |
children | c3c963e7c1a6 |
rev | line source |
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16 | 1 import std/math |
2 import std/macros | |
3 import std/random | |
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4 import std/strutils |
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5 import std/typetraits |
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6 |
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7 import ./vector |
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8 |
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9 type |
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10 # layout is row-first |
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11 # having an object instead of directly aliasing the array seems a bit ugly at |
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12 # first, but is necessary to be able to work correctly with distinguished |
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13 # types (i.e. Mat23 and Mat32 would be an alias for the same type array[6, T] |
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14 # which prevents the type system from identifying the correct type at times) |
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15 # |
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16 # Though, great news is that objects have zero overhead! |
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17 Mat22*[T: SomeNumber] = object |
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18 data: array[4, T] |
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19 Mat23*[T: SomeNumber] = object |
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20 data: array[6, T] |
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21 Mat32*[T: SomeNumber] = object |
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22 data: array[6, T] |
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23 Mat33*[T: SomeNumber] = object |
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24 data: array[9, T] |
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25 Mat34*[T: SomeNumber] = object |
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26 data: array[12, T] |
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27 Mat43*[T: SomeNumber] = object |
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28 data: array[12, T] |
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29 Mat44*[T: SomeNumber] = object |
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30 data: array[16, T] |
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31 MatMM* = Mat22|Mat33|Mat44 |
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32 MatMN* = Mat23|Mat32|Mat34|Mat43 |
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33 Mat* = MatMM|MatMN |
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34 |
16 | 35 func unit22[T: SomeNumber](): auto {.compiletime.} = Mat22[T](data:[ |
36 T(1), T(0), | |
37 T(0), T(1), | |
38 ]) | |
39 func unit33[T: SomeNumber](): auto {.compiletime.} = Mat33[T](data:[ | |
40 T(1), T(0), T(0), | |
41 T(0), T(1), T(0), | |
42 T(0), T(0), T(1), | |
43 ]) | |
44 func unit44[T: SomeNumber](): auto {.compiletime.} = Mat44[T](data: [ | |
45 T(1), T(0), T(0), T(0), | |
46 T(0), T(1), T(0), T(0), | |
47 T(0), T(0), T(1), T(0), | |
48 T(0), T(0), T(0), T(1), | |
49 ]) | |
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50 |
16 | 51 # generates constants: Unit |
52 # Also for Y, Z, R, G, B | |
53 # not sure if this is necessary or even a good idea... | |
54 macro generateAllConsts() = | |
55 result = newStmtList() | |
56 for theType in ["int", "int8", "int16", "int32", "int64", "float", "float32", "float64"]: | |
57 var typename = theType[0 .. 0] | |
58 if theType[^2].isDigit: | |
59 typename = typename & theType[^2] | |
60 if theType[^1].isDigit: | |
61 typename = typename & theType[^1] | |
62 result.add(newConstStmt( | |
63 postfix(ident("Unit22" & typename), "*"), | |
64 newCall(nnkBracketExpr.newTree(ident("unit22"), ident(theType))) | |
65 )) | |
66 result.add(newConstStmt( | |
67 postfix(ident("Unit33" & typename), "*"), | |
68 newCall(nnkBracketExpr.newTree(ident("unit33"), ident(theType))) | |
69 )) | |
70 result.add(newConstStmt( | |
71 postfix(ident("Unit44" & typename), "*"), | |
72 newCall(nnkBracketExpr.newTree(ident("unit44"), ident(theType))) | |
73 )) | |
74 | |
75 generateAllConsts() | |
76 | |
77 const Unit22* = unit22[float]() | |
78 const Unit33* = unit33[float]() | |
79 const Unit44* = unit44[float]() | |
80 | |
81 template rowCount*(m: typedesc): int = | |
82 when m is Mat22: 2 | |
83 elif m is Mat23: 2 | |
84 elif m is Mat32: 3 | |
85 elif m is Mat33: 3 | |
86 elif m is Mat34: 3 | |
87 elif m is Mat43: 4 | |
88 elif m is Mat44: 4 | |
89 template columnCount*(m: typedesc): int = | |
90 when m is Mat22: 2 | |
91 elif m is Mat23: 3 | |
92 elif m is Mat32: 2 | |
93 elif m is Mat33: 3 | |
94 elif m is Mat34: 4 | |
95 elif m is Mat43: 3 | |
96 elif m is Mat44: 4 | |
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97 |
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98 |
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99 func toString[T](value: T): string = |
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100 var |
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101 strvalues: seq[string] |
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102 maxwidth = 0 |
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103 |
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104 for n in value.data: |
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105 let strval = $n |
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106 strvalues.add(strval) |
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107 if strval.len > maxwidth: |
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108 maxwidth = strval.len |
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109 |
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110 for i in 0 ..< strvalues.len: |
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111 let filler = " ".repeat(maxwidth - strvalues[i].len) |
16 | 112 if i mod T.columnCount == T.columnCount - 1: |
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113 result &= filler & strvalues[i] & "\n" |
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114 else: |
16 | 115 if i mod T.columnCount == 0: |
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116 result &= " " |
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117 result &= filler & strvalues[i] & " " |
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118 result = $T & "\n" & result |
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119 |
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120 func `$`*(v: Mat22[SomeNumber]): string = toString[Mat22[SomeNumber]](v) |
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121 func `$`*(v: Mat23[SomeNumber]): string = toString[Mat23[SomeNumber]](v) |
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122 func `$`*(v: Mat32[SomeNumber]): string = toString[Mat32[SomeNumber]](v) |
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123 func `$`*(v: Mat33[SomeNumber]): string = toString[Mat33[SomeNumber]](v) |
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124 func `$`*(v: Mat34[SomeNumber]): string = toString[Mat34[SomeNumber]](v) |
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125 func `$`*(v: Mat43[SomeNumber]): string = toString[Mat43[SomeNumber]](v) |
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126 func `$`*(v: Mat44[SomeNumber]): string = toString[Mat44[SomeNumber]](v) |
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127 |
16 | 128 func `[]`*[T: Mat](m: T, row, col: int): auto = m.data[col + row * T.columnCount] |
129 proc `[]=`*[T: Mat, U](m: var T, row, col: int, value: U) = m.data[col + row * T.columnCount] = value | |
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130 |
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131 func row*[T: Mat22](m: T, i: 0..1): auto = Vec2([m[i, 0], m[i, 1]]) |
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132 func row*[T: Mat32](m: T, i: 0..2): auto = Vec2([m[i, 0], m[i, 1]]) |
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133 func row*[T: Mat23](m: T, i: 0..1): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) |
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134 func row*[T: Mat33](m: T, i: 0..2): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) |
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135 func row*[T: Mat43](m: T, i: 0..3): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) |
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136 func row*[T: Mat34](m: T, i: 0..2): auto = Vec4([m[i, 0], m[i, 1], m[i, 2], m[i, 3]]) |
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137 func row*[T: Mat44](m: T, i: 0..3): auto = Vec4([m[i, 0], m[i, 1], m[i, 2], m[i, 3]]) |
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138 |
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139 func col*[T: Mat22](m: T, i: 0..1): auto = Vec2([m[0, i], m[1, i]]) |
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140 func col*[T: Mat23](m: T, i: 0..2): auto = Vec2([m[0, i], m[1, i]]) |
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141 func col*[T: Mat32](m: T, i: 0..1): auto = Vec3([m[0, i], m[1, i], m[2, i]]) |
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142 func col*[T: Mat33](m: T, i: 0..2): auto = Vec3([m[0, i], m[1, i], m[2, i]]) |
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143 func col*[T: Mat34](m: T, i: 0..3): auto = Vec3([m[0, i], m[1, i], m[2, i]]) |
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144 func col*[T: Mat43](m: T, i: 0..2): auto = Vec4([m[0, i], m[1, i], m[2, i], m[3, i]]) |
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145 func col*[T: Mat44](m: T, i: 0..3): auto = Vec4([m[0, i], m[1, i], m[2, i], m[3, i]]) |
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146 |
16 | 147 proc createMatMatMultiplicationOperator(leftType: typedesc, rightType: typedesc, outType: typedesc): NimNode = |
148 var data = nnkBracket.newTree() | |
149 for i in 0 ..< rowCount(leftType): | |
150 for j in 0 ..< rightType.columnCount: | |
151 data.add(newCall( | |
152 ident("sum"), | |
153 infix( | |
154 newCall(newDotExpr(ident("a"), ident("row")), newLit(i)), | |
155 "*", | |
156 newCall(newDotExpr(ident("b"), ident("col")), newLit(j)) | |
157 ) | |
158 )) | |
159 | |
160 return newProc( | |
161 postfix(nnkAccQuoted.newTree(ident("*")), "*"), | |
162 params=[ | |
163 ident("auto"), | |
164 newIdentDefs(ident("a"), ident(leftType.name)), | |
165 newIdentDefs(ident("b"), ident(rightType.name)) | |
166 ], | |
167 body=nnkObjConstr.newTree(ident(outType.name), nnkExprColonExpr.newTree(ident("data"), data)), | |
168 procType=nnkFuncDef, | |
169 ) | |
170 | |
171 proc createVecMatMultiplicationOperator(matType: typedesc, vecType: typedesc): NimNode = | |
172 var data = nnkBracket.newTree() | |
173 for i in 0 ..< matType.rowCount: | |
174 data.add(newCall( | |
175 ident("sum"), | |
176 infix( | |
177 ident("v"), | |
178 "*", | |
179 newCall(newDotExpr(ident("m"), ident("row")), newLit(i)) | |
180 ) | |
181 )) | |
182 | |
183 let resultVec = newCall( | |
184 nnkBracketExpr.newTree(ident(vecType.name), ident("T")), | |
185 data, | |
186 ) | |
187 let name = postfix(nnkAccQuoted.newTree(ident("*")), "*") | |
188 let genericParams = nnkGenericParams.newTree(nnkIdentDefs.newTree(ident("T"), ident("SomeNumber"), newEmptyNode())) | |
189 let formalParams = nnkFormalParams.newTree( | |
190 ident("auto"), | |
191 newIdentDefs(ident("m"), nnkBracketExpr.newTree(ident(matType.name), ident("T"))), | |
192 newIdentDefs(ident("v"), nnkBracketExpr.newTree(ident(vecType.name), ident("T"))), | |
193 ) | |
194 | |
195 return nnkFuncDef.newTree( | |
196 name, | |
197 newEmptyNode(), | |
198 genericParams, | |
199 formalParams, | |
200 newEmptyNode(), | |
201 newEmptyNode(), | |
202 resultVec | |
203 ) | |
204 | |
205 | |
206 proc createMatScalarOperator(matType: typedesc, op: string): NimNode = | |
207 result = newStmtList() | |
208 | |
209 var data = nnkBracket.newTree() | |
210 for i in 0 ..< matType.rowCount * matType.columnCount: | |
211 data.add(infix(nnkBracketExpr.newTree(newDotExpr(ident("a"), ident("data")), newLit(i)), op, ident("b"))) | |
212 result.add(newProc( | |
213 postfix(nnkAccQuoted.newTree(ident(op)), "*"), | |
214 params=[ | |
215 ident("auto"), | |
216 newIdentDefs(ident("a"), ident(matType.name)), | |
217 newIdentDefs(ident("b"), ident("SomeNumber")), | |
218 ], | |
219 body=nnkObjConstr.newTree(ident(matType.name), nnkExprColonExpr.newTree(ident("data"), data)), | |
220 procType=nnkFuncDef, | |
221 )) | |
222 result.add(newProc( | |
223 postfix(nnkAccQuoted.newTree(ident(op)), "*"), | |
224 params=[ | |
225 ident("auto"), | |
226 newIdentDefs(ident("b"), ident("SomeNumber")), | |
227 newIdentDefs(ident("a"), ident(matType.name)), | |
228 ], | |
229 body=nnkObjConstr.newTree(ident(matType.name), nnkExprColonExpr.newTree(ident("data"), data)), | |
230 procType=nnkFuncDef, | |
231 )) | |
232 if op == "-": | |
233 var data2 = nnkBracket.newTree() | |
234 for i in 0 ..< matType.rowCount * matType.columnCount: | |
235 data2.add(prefix(nnkBracketExpr.newTree(newDotExpr(ident("a"), ident("data")), newLit(i)), op)) | |
236 result.add(newProc( | |
237 postfix(nnkAccQuoted.newTree(ident(op)), "*"), | |
238 params=[ | |
239 ident("auto"), | |
240 newIdentDefs(ident("a"), ident(matType.name)), | |
241 ], | |
242 body=nnkObjConstr.newTree(ident(matType.name), nnkExprColonExpr.newTree(ident("data"), data2)), | |
243 procType=nnkFuncDef, | |
244 )) | |
245 | |
246 macro createAllMultiplicationOperators() = | |
247 result = newStmtList() | |
248 | |
249 for op in ["+", "-", "*", "/"]: | |
250 result.add(createMatScalarOperator(Mat22, op)) | |
251 result.add(createMatScalarOperator(Mat23, op)) | |
252 result.add(createMatScalarOperator(Mat32, op)) | |
253 result.add(createMatScalarOperator(Mat33, op)) | |
254 result.add(createMatScalarOperator(Mat34, op)) | |
255 result.add(createMatScalarOperator(Mat43, op)) | |
256 result.add(createMatScalarOperator(Mat44, op)) | |
257 | |
258 result.add(createMatMatMultiplicationOperator(Mat22, Mat22, Mat22)) | |
259 result.add(createMatMatMultiplicationOperator(Mat22, Mat23, Mat23)) | |
260 result.add(createMatMatMultiplicationOperator(Mat23, Mat32, Mat22)) | |
261 result.add(createMatMatMultiplicationOperator(Mat23, Mat33, Mat23)) | |
262 result.add(createMatMatMultiplicationOperator(Mat32, Mat22, Mat32)) | |
263 result.add(createMatMatMultiplicationOperator(Mat32, Mat23, Mat33)) | |
264 result.add(createMatMatMultiplicationOperator(Mat33, Mat32, Mat32)) | |
265 result.add(createMatMatMultiplicationOperator(Mat33, Mat33, Mat33)) | |
266 result.add(createMatMatMultiplicationOperator(Mat33, Mat34, Mat34)) | |
267 result.add(createMatMatMultiplicationOperator(Mat43, Mat33, Mat43)) | |
268 result.add(createMatMatMultiplicationOperator(Mat43, Mat34, Mat44)) | |
269 result.add(createMatMatMultiplicationOperator(Mat44, Mat43, Mat43)) | |
270 result.add(createMatMatMultiplicationOperator(Mat44, Mat44, Mat44)) | |
271 | |
272 result.add(createVecMatMultiplicationOperator(Mat22, Vec2)) | |
273 result.add(createVecMatMultiplicationOperator(Mat33, Vec3)) | |
274 result.add(createVecMatMultiplicationOperator(Mat44, Vec4)) | |
275 | |
276 createAllMultiplicationOperators() | |
277 | |
278 | |
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279 func transposed*[T](m: Mat22[T]): Mat22[T] = Mat22[T](data: [ |
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280 m[0, 0], m[1, 0], |
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281 m[0, 1], m[1, 1], |
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282 ]) |
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283 func transposed*[T](m: Mat23[T]): Mat32[T] = Mat32[T](data: [ |
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284 m[0, 0], m[1, 0], |
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285 m[0, 1], m[1, 1], |
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286 m[0, 2], m[1, 2], |
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287 ]) |
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288 func transposed*[T](m: Mat32[T]): Mat23[T] = Mat23[T](data: [ |
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289 m[0, 0], m[1, 0], m[2, 0], |
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290 m[0, 1], m[1, 1], m[2, 1], |
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291 ]) |
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292 func transposed*[T](m: Mat33[T]): Mat33[T] = Mat33[T](data: [ |
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293 m[0, 0], m[1, 0], m[2, 0], |
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294 m[0, 1], m[1, 1], m[2, 1], |
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295 m[0, 2], m[1, 2], m[2, 2], |
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296 ]) |
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297 func transposed*[T](m: Mat43[T]): Mat34[T] = Mat34[T](data: [ |
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298 m[0, 0], m[1, 0], m[2, 0], m[3, 0], |
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299 m[0, 1], m[1, 1], m[2, 1], m[3, 1], |
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300 m[0, 2], m[1, 2], m[2, 2], m[3, 2], |
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301 ]) |
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302 func transposed*[T](m: Mat34[T]): Mat43[T] = Mat43[T](data: [ |
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303 m[0, 0], m[1, 0], m[2, 0], |
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304 m[0, 1], m[1, 1], m[2, 1], |
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305 m[0, 2], m[1, 2], m[2, 2], |
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306 m[0, 3], m[1, 3], m[2, 3], |
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307 ]) |
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308 func transposed*[T](m: Mat44[T]): Mat44[T] = Mat44[T](data: [ |
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309 m[0, 0], m[1, 0], m[2, 0], m[3, 0], |
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310 m[0, 1], m[1, 1], m[2, 1], m[3, 1], |
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311 m[0, 2], m[1, 2], m[2, 2], m[3, 2], |
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312 m[0, 3], m[1, 3], m[2, 3], m[3, 3], |
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313 ]) |
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314 |
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315 func translate2d*[T](x, y: T): Mat33[T] = Mat33[T](data: [ |
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316 T(1), T(0), x, |
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317 T(0), T(1), y, |
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318 T(0), T(0), T(1), |
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319 ]) |
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320 func scale2d*[T](sx, sy: T): Mat33[T] = Mat33[T](data: [ |
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321 sx, T(0), T(0), |
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322 T(0), sy, T(0), |
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323 T(0), T(0), T(1), |
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324 ]) |
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325 func rotate2d*[T](angle: T): Mat33[T] = Mat33[T](data: [ |
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326 cos(angle), -sin(angle), T(0), |
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327 sin(angle), cos(angle), T(0), |
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328 T(0), T(0), T(1), |
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329 ]) |
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330 func translate3d*[T](x, y, z: T): Mat44[T] = Mat44[T](data: [ |
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331 T(1), T(0), T(0), x, |
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332 T(0), T(1), T(0), y, |
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333 T(0), T(0), T(1), z, |
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334 T(0), T(0), T(0), T(1), |
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335 ]) |
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336 func scale3d*[T](sx, sy, sz: T): Mat44[T] = Mat44[T](data: [ |
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337 sx, T(0), T(0), T(0), |
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338 T(0), sy, T(0), T(0), |
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339 T(0), T(0), sz, T(0), |
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340 T(0), T(0), T(0), T(1), |
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341 ]) |
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342 func rotate3d*[T](angle: T, a: Vec3[T]): Mat44[T] = |
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343 let |
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344 cosa = cos(angle) |
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345 sina = sin(angle) |
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346 x = a.x |
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347 y = a.y |
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348 z = a.z |
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349 Mat44[T](data: [ |
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350 x * x * (1 - cosa) + cosa, y * x * (1 - cosa) - z * sina, z * x * (1 - cosa) + y * sina, T(0), |
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351 x * y * (1 - cosa) + z * sina, y * y * (1 - cosa) + cosa, z * y * (1 - cosa) - x * sina, T(0), |
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352 x * z * (1 - cosa) - y * sina, y * z * (1 - cosa) + x * sina, z * z * (1 - cosa) + cosa, T(0), |
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353 T(0), T(0), T(0), 1, |
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354 ]) |
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355 |
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356 |
16 | 357 # call e.g. Mat32[int]().randomized() to get a random matrix |
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358 template makeRandomInit(mattype: typedesc) = |
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359 proc randomized*[T: SomeInteger](m: mattype[T]): mattype[T] = |
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360 for i in 0 ..< result.data.len: |
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361 result.data[i] = rand(low(typeof(m.data[0])) .. high(typeof(m.data[0]))) |
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362 proc randomized*[T: SomeFloat](m: mattype[T]): mattype[T] = |
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363 for i in 0 ..< result.data.len: |
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364 result.data[i] = rand(1.0) |
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365 |
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366 makeRandomInit(Mat22) |
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367 makeRandomInit(Mat23) |
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368 makeRandomInit(Mat32) |
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369 makeRandomInit(Mat33) |
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370 makeRandomInit(Mat34) |
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371 makeRandomInit(Mat43) |
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372 makeRandomInit(Mat44) |