Mercurial > games > semicongine
comparison src/math/matrix.nim @ 17:b40466fa446a
add: vertex basics, some refactoring
author | Sam <sam@basx.dev> |
---|---|
date | Sun, 01 Jan 2023 01:00:50 +0700 |
parents | src/matrix.nim@617c6dcddbe2 |
children |
comparison
equal
deleted
inserted
replaced
16:617c6dcddbe2 | 17:b40466fa446a |
---|---|
1 import std/math | |
2 import std/macros | |
3 import std/random | |
4 import std/strutils | |
5 import std/typetraits | |
6 | |
7 import ./vector | |
8 | |
9 type | |
10 # layout is row-first | |
11 # having an object instead of directly aliasing the array seems a bit ugly at | |
12 # first, but is necessary to be able to work correctly with distinguished | |
13 # types (i.e. Mat23 and Mat32 would be an alias for the same type array[6, T] | |
14 # which prevents the type system from identifying the correct type at times) | |
15 # | |
16 # Though, great news is that objects have zero overhead! | |
17 Mat22*[T: SomeNumber] = object | |
18 data: array[4, T] | |
19 Mat23*[T: SomeNumber] = object | |
20 data: array[6, T] | |
21 Mat32*[T: SomeNumber] = object | |
22 data: array[6, T] | |
23 Mat33*[T: SomeNumber] = object | |
24 data: array[9, T] | |
25 Mat34*[T: SomeNumber] = object | |
26 data: array[12, T] | |
27 Mat43*[T: SomeNumber] = object | |
28 data: array[12, T] | |
29 Mat44*[T: SomeNumber] = object | |
30 data: array[16, T] | |
31 MatMM* = Mat22|Mat33|Mat44 | |
32 MatMN* = Mat23|Mat32|Mat34|Mat43 | |
33 Mat* = MatMM|MatMN | |
34 IntegerMat = Mat22[SomeInteger]|Mat33[SomeInteger]|Mat44[SomeInteger]|Mat23[SomeInteger]|Mat32[SomeInteger]|Mat34[SomeInteger]|Mat43[SomeInteger] | |
35 FloatMat = Mat22[SomeFloat]|Mat33[SomeFloat]|Mat44[SomeFloat]|Mat23[SomeFloat]|Mat32[SomeFloat]|Mat34[SomeFloat]|Mat43[SomeFloat] | |
36 | |
37 func unit22[T: SomeNumber](): auto {.compiletime.} = Mat22[T](data:[ | |
38 T(1), T(0), | |
39 T(0), T(1), | |
40 ]) | |
41 func unit33[T: SomeNumber](): auto {.compiletime.} = Mat33[T](data:[ | |
42 T(1), T(0), T(0), | |
43 T(0), T(1), T(0), | |
44 T(0), T(0), T(1), | |
45 ]) | |
46 func unit44[T: SomeNumber](): auto {.compiletime.} = Mat44[T](data: [ | |
47 T(1), T(0), T(0), T(0), | |
48 T(0), T(1), T(0), T(0), | |
49 T(0), T(0), T(1), T(0), | |
50 T(0), T(0), T(0), T(1), | |
51 ]) | |
52 | |
53 # generates constants: Unit | |
54 # Also for Y, Z, R, G, B | |
55 # not sure if this is necessary or even a good idea... | |
56 macro generateAllConsts() = | |
57 result = newStmtList() | |
58 for theType in ["int", "int8", "int16", "int32", "int64", "float", "float32", "float64"]: | |
59 var typename = theType[0 .. 0] | |
60 if theType[^2].isDigit: | |
61 typename = typename & theType[^2] | |
62 if theType[^1].isDigit: | |
63 typename = typename & theType[^1] | |
64 result.add(newConstStmt( | |
65 postfix(ident("Unit22" & typename), "*"), | |
66 newCall(nnkBracketExpr.newTree(ident("unit22"), ident(theType))) | |
67 )) | |
68 result.add(newConstStmt( | |
69 postfix(ident("Unit33" & typename), "*"), | |
70 newCall(nnkBracketExpr.newTree(ident("unit33"), ident(theType))) | |
71 )) | |
72 result.add(newConstStmt( | |
73 postfix(ident("Unit44" & typename), "*"), | |
74 newCall(nnkBracketExpr.newTree(ident("unit44"), ident(theType))) | |
75 )) | |
76 | |
77 generateAllConsts() | |
78 | |
79 const Unit22* = unit22[float]() | |
80 const Unit33* = unit33[float]() | |
81 const Unit44* = unit44[float]() | |
82 | |
83 template rowCount*(m: typedesc): int = | |
84 when m is Mat22: 2 | |
85 elif m is Mat23: 2 | |
86 elif m is Mat32: 3 | |
87 elif m is Mat33: 3 | |
88 elif m is Mat34: 3 | |
89 elif m is Mat43: 4 | |
90 elif m is Mat44: 4 | |
91 template columnCount*(m: typedesc): int = | |
92 when m is Mat22: 2 | |
93 elif m is Mat23: 3 | |
94 elif m is Mat32: 2 | |
95 elif m is Mat33: 3 | |
96 elif m is Mat34: 4 | |
97 elif m is Mat43: 3 | |
98 elif m is Mat44: 4 | |
99 | |
100 | |
101 func toString[T](value: T): string = | |
102 var | |
103 strvalues: seq[string] | |
104 maxwidth = 0 | |
105 | |
106 for n in value.data: | |
107 let strval = $n | |
108 strvalues.add(strval) | |
109 if strval.len > maxwidth: | |
110 maxwidth = strval.len | |
111 | |
112 for i in 0 ..< strvalues.len: | |
113 let filler = " ".repeat(maxwidth - strvalues[i].len) | |
114 if i mod T.columnCount == T.columnCount - 1: | |
115 result &= filler & strvalues[i] & "\n" | |
116 else: | |
117 if i mod T.columnCount == 0: | |
118 result &= " " | |
119 result &= filler & strvalues[i] & " " | |
120 result = $T & "\n" & result | |
121 | |
122 func `$`*(v: Mat22[SomeNumber]): string = toString[Mat22[SomeNumber]](v) | |
123 func `$`*(v: Mat23[SomeNumber]): string = toString[Mat23[SomeNumber]](v) | |
124 func `$`*(v: Mat32[SomeNumber]): string = toString[Mat32[SomeNumber]](v) | |
125 func `$`*(v: Mat33[SomeNumber]): string = toString[Mat33[SomeNumber]](v) | |
126 func `$`*(v: Mat34[SomeNumber]): string = toString[Mat34[SomeNumber]](v) | |
127 func `$`*(v: Mat43[SomeNumber]): string = toString[Mat43[SomeNumber]](v) | |
128 func `$`*(v: Mat44[SomeNumber]): string = toString[Mat44[SomeNumber]](v) | |
129 | |
130 func `[]`*[T: Mat](m: T, row, col: int): auto = m.data[col + row * T.columnCount] | |
131 proc `[]=`*[T: Mat, U](m: var T, row, col: int, value: U) = m.data[col + row * T.columnCount] = value | |
132 | |
133 func row*[T: Mat22](m: T, i: 0..1): auto = Vec2([m[i, 0], m[i, 1]]) | |
134 func row*[T: Mat32](m: T, i: 0..2): auto = Vec2([m[i, 0], m[i, 1]]) | |
135 func row*[T: Mat23](m: T, i: 0..1): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) | |
136 func row*[T: Mat33](m: T, i: 0..2): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) | |
137 func row*[T: Mat43](m: T, i: 0..3): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) | |
138 func row*[T: Mat34](m: T, i: 0..2): auto = Vec4([m[i, 0], m[i, 1], m[i, 2], m[i, 3]]) | |
139 func row*[T: Mat44](m: T, i: 0..3): auto = Vec4([m[i, 0], m[i, 1], m[i, 2], m[i, 3]]) | |
140 | |
141 func col*[T: Mat22](m: T, i: 0..1): auto = Vec2([m[0, i], m[1, i]]) | |
142 func col*[T: Mat23](m: T, i: 0..2): auto = Vec2([m[0, i], m[1, i]]) | |
143 func col*[T: Mat32](m: T, i: 0..1): auto = Vec3([m[0, i], m[1, i], m[2, i]]) | |
144 func col*[T: Mat33](m: T, i: 0..2): auto = Vec3([m[0, i], m[1, i], m[2, i]]) | |
145 func col*[T: Mat34](m: T, i: 0..3): auto = Vec3([m[0, i], m[1, i], m[2, i]]) | |
146 func col*[T: Mat43](m: T, i: 0..2): auto = Vec4([m[0, i], m[1, i], m[2, i], m[3, i]]) | |
147 func col*[T: Mat44](m: T, i: 0..3): auto = Vec4([m[0, i], m[1, i], m[2, i], m[3, i]]) | |
148 | |
149 proc createMatMatMultiplicationOperator(leftType: typedesc, rightType: typedesc, outType: typedesc): NimNode = | |
150 var data = nnkBracket.newTree() | |
151 for i in 0 ..< rowCount(leftType): | |
152 for j in 0 ..< rightType.columnCount: | |
153 data.add(newCall( | |
154 ident("sum"), | |
155 infix( | |
156 newCall(newDotExpr(ident("a"), ident("row")), newLit(i)), | |
157 "*", | |
158 newCall(newDotExpr(ident("b"), ident("col")), newLit(j)) | |
159 ) | |
160 )) | |
161 | |
162 return newProc( | |
163 postfix(nnkAccQuoted.newTree(ident("*")), "*"), | |
164 params=[ | |
165 ident("auto"), | |
166 newIdentDefs(ident("a"), ident(leftType.name)), | |
167 newIdentDefs(ident("b"), ident(rightType.name)) | |
168 ], | |
169 body=nnkObjConstr.newTree(ident(outType.name), nnkExprColonExpr.newTree(ident("data"), data)), | |
170 procType=nnkFuncDef, | |
171 ) | |
172 | |
173 proc createVecMatMultiplicationOperator(matType: typedesc, vecType: typedesc): NimNode = | |
174 var data = nnkBracket.newTree() | |
175 for i in 0 ..< matType.rowCount: | |
176 data.add(newCall( | |
177 ident("sum"), | |
178 infix( | |
179 ident("v"), | |
180 "*", | |
181 newCall(newDotExpr(ident("m"), ident("row")), newLit(i)) | |
182 ) | |
183 )) | |
184 | |
185 let resultVec = newCall( | |
186 nnkBracketExpr.newTree(ident(vecType.name), ident("T")), | |
187 data, | |
188 ) | |
189 let name = postfix(nnkAccQuoted.newTree(ident("*")), "*") | |
190 let genericParams = nnkGenericParams.newTree(nnkIdentDefs.newTree(ident("T"), ident("SomeNumber"), newEmptyNode())) | |
191 let formalParams = nnkFormalParams.newTree( | |
192 ident("auto"), | |
193 newIdentDefs(ident("m"), nnkBracketExpr.newTree(ident(matType.name), ident("T"))), | |
194 newIdentDefs(ident("v"), nnkBracketExpr.newTree(ident(vecType.name), ident("T"))), | |
195 ) | |
196 | |
197 return nnkFuncDef.newTree( | |
198 name, | |
199 newEmptyNode(), | |
200 genericParams, | |
201 formalParams, | |
202 newEmptyNode(), | |
203 newEmptyNode(), | |
204 resultVec | |
205 ) | |
206 | |
207 proc createVecMatMultiplicationOperator1(vecType: typedesc, matType: typedesc): NimNode = | |
208 var data = nnkBracket.newTree() | |
209 for i in 0 ..< matType.columnCount: | |
210 data.add(newCall( | |
211 ident("sum"), | |
212 infix( | |
213 ident("v"), | |
214 "*", | |
215 newCall(newDotExpr(ident("m"), ident("col")), newLit(i)) | |
216 ) | |
217 )) | |
218 let resultVec = nnkObjConstr.newTree( | |
219 nnkBracketExpr.newTree(ident(vecType.name), ident("float")), | |
220 nnkExprColonExpr.newTree(ident("data"), data) | |
221 ) | |
222 | |
223 return nnkFuncDef.newTree( | |
224 ident("test"), | |
225 newEmptyNode(), | |
226 newEmptyNode(), | |
227 newEmptyNode(), | |
228 newEmptyNode(), | |
229 newEmptyNode(), | |
230 resultVec, | |
231 ) | |
232 | |
233 proc createMatScalarOperator(matType: typedesc, op: string): NimNode = | |
234 result = newStmtList() | |
235 | |
236 var data = nnkBracket.newTree() | |
237 for i in 0 ..< matType.rowCount * matType.columnCount: | |
238 data.add(infix(nnkBracketExpr.newTree(newDotExpr(ident("a"), ident("data")), newLit(i)), op, ident("b"))) | |
239 result.add(newProc( | |
240 postfix(nnkAccQuoted.newTree(ident(op)), "*"), | |
241 params=[ | |
242 ident("auto"), | |
243 newIdentDefs(ident("a"), ident(matType.name)), | |
244 newIdentDefs(ident("b"), ident("SomeNumber")), | |
245 ], | |
246 body=nnkObjConstr.newTree(ident(matType.name), nnkExprColonExpr.newTree(ident("data"), data)), | |
247 procType=nnkFuncDef, | |
248 )) | |
249 result.add(newProc( | |
250 postfix(nnkAccQuoted.newTree(ident(op)), "*"), | |
251 params=[ | |
252 ident("auto"), | |
253 newIdentDefs(ident("b"), ident("SomeNumber")), | |
254 newIdentDefs(ident("a"), ident(matType.name)), | |
255 ], | |
256 body=nnkObjConstr.newTree(ident(matType.name), nnkExprColonExpr.newTree(ident("data"), data)), | |
257 procType=nnkFuncDef, | |
258 )) | |
259 if op == "-": | |
260 var data2 = nnkBracket.newTree() | |
261 for i in 0 ..< matType.rowCount * matType.columnCount: | |
262 data2.add(prefix(nnkBracketExpr.newTree(newDotExpr(ident("a"), ident("data")), newLit(i)), op)) | |
263 result.add(newProc( | |
264 postfix(nnkAccQuoted.newTree(ident(op)), "*"), | |
265 params=[ | |
266 ident("auto"), | |
267 newIdentDefs(ident("a"), ident(matType.name)), | |
268 ], | |
269 body=nnkObjConstr.newTree(ident(matType.name), nnkExprColonExpr.newTree(ident("data"), data2)), | |
270 procType=nnkFuncDef, | |
271 )) | |
272 | |
273 macro createAllMultiplicationOperators() = | |
274 result = newStmtList() | |
275 | |
276 for op in ["+", "-", "*", "/"]: | |
277 result.add(createMatScalarOperator(Mat22, op)) | |
278 result.add(createMatScalarOperator(Mat23, op)) | |
279 result.add(createMatScalarOperator(Mat32, op)) | |
280 result.add(createMatScalarOperator(Mat33, op)) | |
281 result.add(createMatScalarOperator(Mat34, op)) | |
282 result.add(createMatScalarOperator(Mat43, op)) | |
283 result.add(createMatScalarOperator(Mat44, op)) | |
284 | |
285 result.add(createMatMatMultiplicationOperator(Mat22, Mat22, Mat22)) | |
286 result.add(createMatMatMultiplicationOperator(Mat22, Mat23, Mat23)) | |
287 result.add(createMatMatMultiplicationOperator(Mat23, Mat32, Mat22)) | |
288 result.add(createMatMatMultiplicationOperator(Mat23, Mat33, Mat23)) | |
289 result.add(createMatMatMultiplicationOperator(Mat32, Mat22, Mat32)) | |
290 result.add(createMatMatMultiplicationOperator(Mat32, Mat23, Mat33)) | |
291 result.add(createMatMatMultiplicationOperator(Mat33, Mat32, Mat32)) | |
292 result.add(createMatMatMultiplicationOperator(Mat33, Mat33, Mat33)) | |
293 result.add(createMatMatMultiplicationOperator(Mat33, Mat34, Mat34)) | |
294 result.add(createMatMatMultiplicationOperator(Mat43, Mat33, Mat43)) | |
295 result.add(createMatMatMultiplicationOperator(Mat43, Mat34, Mat44)) | |
296 result.add(createMatMatMultiplicationOperator(Mat44, Mat43, Mat43)) | |
297 result.add(createMatMatMultiplicationOperator(Mat44, Mat44, Mat44)) | |
298 | |
299 result.add(createVecMatMultiplicationOperator(Mat22, Vec2)) | |
300 result.add(createVecMatMultiplicationOperator(Mat33, Vec3)) | |
301 result.add(createVecMatMultiplicationOperator(Mat44, Vec4)) | |
302 | |
303 createAllMultiplicationOperators() | |
304 | |
305 | |
306 func transposed*[T](m: Mat22[T]): Mat22[T] = Mat22[T](data: [ | |
307 m[0, 0], m[1, 0], | |
308 m[0, 1], m[1, 1], | |
309 ]) | |
310 func transposed*[T](m: Mat23[T]): Mat32[T] = Mat32[T](data: [ | |
311 m[0, 0], m[1, 0], | |
312 m[0, 1], m[1, 1], | |
313 m[0, 2], m[1, 2], | |
314 ]) | |
315 func transposed*[T](m: Mat32[T]): Mat23[T] = Mat23[T](data: [ | |
316 m[0, 0], m[1, 0], m[2, 0], | |
317 m[0, 1], m[1, 1], m[2, 1], | |
318 ]) | |
319 func transposed*[T](m: Mat33[T]): Mat33[T] = Mat33[T](data: [ | |
320 m[0, 0], m[1, 0], m[2, 0], | |
321 m[0, 1], m[1, 1], m[2, 1], | |
322 m[0, 2], m[1, 2], m[2, 2], | |
323 ]) | |
324 func transposed*[T](m: Mat43[T]): Mat34[T] = Mat34[T](data: [ | |
325 m[0, 0], m[1, 0], m[2, 0], m[3, 0], | |
326 m[0, 1], m[1, 1], m[2, 1], m[3, 1], | |
327 m[0, 2], m[1, 2], m[2, 2], m[3, 2], | |
328 ]) | |
329 func transposed*[T](m: Mat34[T]): Mat43[T] = Mat43[T](data: [ | |
330 m[0, 0], m[1, 0], m[2, 0], | |
331 m[0, 1], m[1, 1], m[2, 1], | |
332 m[0, 2], m[1, 2], m[2, 2], | |
333 m[0, 3], m[1, 3], m[2, 3], | |
334 ]) | |
335 func transposed*[T](m: Mat44[T]): Mat44[T] = Mat44[T](data: [ | |
336 m[0, 0], m[1, 0], m[2, 0], m[3, 0], | |
337 m[0, 1], m[1, 1], m[2, 1], m[3, 1], | |
338 m[0, 2], m[1, 2], m[2, 2], m[3, 2], | |
339 m[0, 3], m[1, 3], m[2, 3], m[3, 3], | |
340 ]) | |
341 | |
342 # call e.g. Mat32[int]().randomized() to get a random matrix | |
343 template makeRandomInit(mattype: typedesc) = | |
344 proc randomized*[T: SomeInteger](m: mattype[T]): mattype[T] = | |
345 for i in 0 ..< result.data.len: | |
346 result.data[i] = rand(low(typeof(m.data[0])) .. high(typeof(m.data[0]))) | |
347 proc randomized*[T: SomeFloat](m: mattype[T]): mattype[T] = | |
348 for i in 0 ..< result.data.len: | |
349 result.data[i] = rand(1.0) | |
350 | |
351 makeRandomInit(Mat22) | |
352 makeRandomInit(Mat23) | |
353 makeRandomInit(Mat32) | |
354 makeRandomInit(Mat33) | |
355 makeRandomInit(Mat34) | |
356 makeRandomInit(Mat43) | |
357 makeRandomInit(Mat44) |