Mercurial > games > semicongine
view src/zamikongine/math/matrix.nim @ 22:b45a5d338cd0
did: improve alotof_triangles example, remove glslang lib, use only binary, easier cross-compilation
author | Sam <sam@basx.dev> |
---|---|
date | Wed, 11 Jan 2023 00:43:17 +0700 |
parents | b55d6ecde79d |
children | 71bbe11d8de8 |
line wrap: on
line source
import std/math import std/macros import std/random import std/strutils import std/typetraits import ./vector type # layout is row-first # having an object instead of directly aliasing the array seems a bit ugly at # first, but is necessary to be able to work correctly with distinguished # types (i.e. Mat23 and Mat32 would be an alias for the same type array[6, T] # which prevents the type system from identifying the correct type at times) # # Though, great news is that objects have zero overhead! Mat22*[T: SomeNumber] = object data: array[4, T] Mat23*[T: SomeNumber] = object data: array[6, T] Mat32*[T: SomeNumber] = object data: array[6, T] Mat33*[T: SomeNumber] = object data: array[9, T] Mat34*[T: SomeNumber] = object data: array[12, T] Mat43*[T: SomeNumber] = object data: array[12, T] Mat44*[T: SomeNumber] = object data: array[16, T] MatMM* = Mat22|Mat33|Mat44 MatMN* = Mat23|Mat32|Mat34|Mat43 Mat* = MatMM|MatMN IntegerMat = Mat22[SomeInteger]|Mat33[SomeInteger]|Mat44[SomeInteger]|Mat23[SomeInteger]|Mat32[SomeInteger]|Mat34[SomeInteger]|Mat43[SomeInteger] FloatMat = Mat22[SomeFloat]|Mat33[SomeFloat]|Mat44[SomeFloat]|Mat23[SomeFloat]|Mat32[SomeFloat]|Mat34[SomeFloat]|Mat43[SomeFloat] func unit22[T: SomeNumber](): auto {.compiletime.} = Mat22[T](data:[ T(1), T(0), T(0), T(1), ]) func unit33[T: SomeNumber](): auto {.compiletime.} = Mat33[T](data:[ T(1), T(0), T(0), T(0), T(1), T(0), T(0), T(0), T(1), ]) func unit44[T: SomeNumber](): auto {.compiletime.} = Mat44[T](data: [ T(1), T(0), T(0), T(0), T(0), T(1), T(0), T(0), T(0), T(0), T(1), T(0), T(0), T(0), T(0), T(1), ]) # generates constants: Unit # Also for Y, Z, R, G, B # not sure if this is necessary or even a good idea... macro generateAllConsts() = result = newStmtList() for theType in ["int", "int8", "int16", "int32", "int64", "float", "float32", "float64"]: var typename = theType[0 .. 0] if theType[^2].isDigit: typename = typename & theType[^2] if theType[^1].isDigit: typename = typename & theType[^1] result.add(newConstStmt( postfix(ident("Unit22" & typename), "*"), newCall(nnkBracketExpr.newTree(ident("unit22"), ident(theType))) )) result.add(newConstStmt( postfix(ident("Unit33" & typename), "*"), newCall(nnkBracketExpr.newTree(ident("unit33"), ident(theType))) )) result.add(newConstStmt( postfix(ident("Unit44" & typename), "*"), newCall(nnkBracketExpr.newTree(ident("unit44"), ident(theType))) )) generateAllConsts() const Unit22* = unit22[float]() const Unit33* = unit33[float]() const Unit44* = unit44[float]() template rowCount*(m: typedesc): int = when m is Mat22: 2 elif m is Mat23: 2 elif m is Mat32: 3 elif m is Mat33: 3 elif m is Mat34: 3 elif m is Mat43: 4 elif m is Mat44: 4 template columnCount*(m: typedesc): int = when m is Mat22: 2 elif m is Mat23: 3 elif m is Mat32: 2 elif m is Mat33: 3 elif m is Mat34: 4 elif m is Mat43: 3 elif m is Mat44: 4 func toString[T](value: T): string = var strvalues: seq[string] maxwidth = 0 for n in value.data: let strval = $n strvalues.add(strval) if strval.len > maxwidth: maxwidth = strval.len for i in 0 ..< strvalues.len: let filler = " ".repeat(maxwidth - strvalues[i].len) if i mod T.columnCount == T.columnCount - 1: result &= filler & strvalues[i] & "\n" else: if i mod T.columnCount == 0: result &= " " result &= filler & strvalues[i] & " " result = $T & "\n" & result func `$`*(v: Mat22[SomeNumber]): string = toString[Mat22[SomeNumber]](v) func `$`*(v: Mat23[SomeNumber]): string = toString[Mat23[SomeNumber]](v) func `$`*(v: Mat32[SomeNumber]): string = toString[Mat32[SomeNumber]](v) func `$`*(v: Mat33[SomeNumber]): string = toString[Mat33[SomeNumber]](v) func `$`*(v: Mat34[SomeNumber]): string = toString[Mat34[SomeNumber]](v) func `$`*(v: Mat43[SomeNumber]): string = toString[Mat43[SomeNumber]](v) func `$`*(v: Mat44[SomeNumber]): string = toString[Mat44[SomeNumber]](v) func `[]`*[T: Mat](m: T, row, col: int): auto = m.data[col + row * T.columnCount] proc `[]=`*[T: Mat, U](m: var T, row, col: int, value: U) = m.data[col + row * T.columnCount] = value func row*[T: Mat22](m: T, i: 0..1): auto = Vec2([m[i, 0], m[i, 1]]) func row*[T: Mat32](m: T, i: 0..2): auto = Vec2([m[i, 0], m[i, 1]]) func row*[T: Mat23](m: T, i: 0..1): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) func row*[T: Mat33](m: T, i: 0..2): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) func row*[T: Mat43](m: T, i: 0..3): auto = Vec3([m[i, 0], m[i, 1], m[i, 2]]) func row*[T: Mat34](m: T, i: 0..2): auto = Vec4([m[i, 0], m[i, 1], m[i, 2], m[i, 3]]) func row*[T: Mat44](m: T, i: 0..3): auto = Vec4([m[i, 0], m[i, 1], m[i, 2], m[i, 3]]) func col*[T: Mat22](m: T, i: 0..1): auto = Vec2([m[0, i], m[1, i]]) func col*[T: Mat23](m: T, i: 0..2): auto = Vec2([m[0, i], m[1, i]]) func col*[T: Mat32](m: T, i: 0..1): auto = Vec3([m[0, i], m[1, i], m[2, i]]) func col*[T: Mat33](m: T, i: 0..2): auto = Vec3([m[0, i], m[1, i], m[2, i]]) func col*[T: Mat34](m: T, i: 0..3): auto = Vec3([m[0, i], m[1, i], m[2, i]]) func col*[T: Mat43](m: T, i: 0..2): auto = Vec4([m[0, i], m[1, i], m[2, i], m[3, i]]) func col*[T: Mat44](m: T, i: 0..3): auto = Vec4([m[0, i], m[1, i], m[2, i], m[3, i]]) proc createMatMatMultiplicationOperator(leftType: typedesc, rightType: typedesc, outType: typedesc): NimNode = var data = nnkBracket.newTree() for i in 0 ..< rowCount(leftType): for j in 0 ..< rightType.columnCount: data.add(newCall( ident("sum"), infix( newCall(newDotExpr(ident("a"), ident("row")), newLit(i)), "*", newCall(newDotExpr(ident("b"), ident("col")), newLit(j)) ) )) return newProc( postfix(nnkAccQuoted.newTree(ident("*")), "*"), params=[ ident("auto"), newIdentDefs(ident("a"), ident(leftType.name)), newIdentDefs(ident("b"), ident(rightType.name)) ], body=nnkObjConstr.newTree(ident(outType.name), nnkExprColonExpr.newTree(ident("data"), data)), procType=nnkFuncDef, ) proc createVecMatMultiplicationOperator(matType: typedesc, vecType: typedesc): NimNode = var data = nnkBracket.newTree() for i in 0 ..< matType.rowCount: data.add(newCall( ident("sum"), infix( ident("v"), "*", newCall(newDotExpr(ident("m"), ident("row")), newLit(i)) ) )) let resultVec = newCall( nnkBracketExpr.newTree(ident(vecType.name), ident("T")), data, ) let name = postfix(nnkAccQuoted.newTree(ident("*")), "*") let genericParams = nnkGenericParams.newTree(nnkIdentDefs.newTree(ident("T"), ident("SomeNumber"), newEmptyNode())) let formalParams = nnkFormalParams.newTree( ident("auto"), newIdentDefs(ident("m"), nnkBracketExpr.newTree(ident(matType.name), ident("T"))), newIdentDefs(ident("v"), nnkBracketExpr.newTree(ident(vecType.name), ident("T"))), ) return nnkFuncDef.newTree( name, newEmptyNode(), genericParams, formalParams, newEmptyNode(), newEmptyNode(), resultVec ) proc createVecMatMultiplicationOperator1(vecType: typedesc, matType: typedesc): NimNode = var data = nnkBracket.newTree() for i in 0 ..< matType.columnCount: data.add(newCall( ident("sum"), infix( ident("v"), "*", newCall(newDotExpr(ident("m"), ident("col")), newLit(i)) ) )) let resultVec = nnkObjConstr.newTree( nnkBracketExpr.newTree(ident(vecType.name), ident("float")), nnkExprColonExpr.newTree(ident("data"), data) ) return nnkFuncDef.newTree( ident("test"), newEmptyNode(), newEmptyNode(), newEmptyNode(), newEmptyNode(), newEmptyNode(), resultVec, ) proc createMatScalarOperator(matType: typedesc, op: string): NimNode = result = newStmtList() var data = nnkBracket.newTree() for i in 0 ..< matType.rowCount * matType.columnCount: data.add(infix(nnkBracketExpr.newTree(newDotExpr(ident("a"), ident("data")), newLit(i)), op, ident("b"))) result.add(newProc( postfix(nnkAccQuoted.newTree(ident(op)), "*"), params=[ ident("auto"), newIdentDefs(ident("a"), ident(matType.name)), newIdentDefs(ident("b"), ident("SomeNumber")), ], body=nnkObjConstr.newTree(ident(matType.name), nnkExprColonExpr.newTree(ident("data"), data)), procType=nnkFuncDef, )) result.add(newProc( postfix(nnkAccQuoted.newTree(ident(op)), "*"), params=[ ident("auto"), newIdentDefs(ident("b"), ident("SomeNumber")), newIdentDefs(ident("a"), ident(matType.name)), ], body=nnkObjConstr.newTree(ident(matType.name), nnkExprColonExpr.newTree(ident("data"), data)), procType=nnkFuncDef, )) if op == "-": var data2 = nnkBracket.newTree() for i in 0 ..< matType.rowCount * matType.columnCount: data2.add(prefix(nnkBracketExpr.newTree(newDotExpr(ident("a"), ident("data")), newLit(i)), op)) result.add(newProc( postfix(nnkAccQuoted.newTree(ident(op)), "*"), params=[ ident("auto"), newIdentDefs(ident("a"), ident(matType.name)), ], body=nnkObjConstr.newTree(ident(matType.name), nnkExprColonExpr.newTree(ident("data"), data2)), procType=nnkFuncDef, )) macro createAllMultiplicationOperators() = result = newStmtList() for op in ["+", "-", "*", "/"]: result.add(createMatScalarOperator(Mat22, op)) result.add(createMatScalarOperator(Mat23, op)) result.add(createMatScalarOperator(Mat32, op)) result.add(createMatScalarOperator(Mat33, op)) result.add(createMatScalarOperator(Mat34, op)) result.add(createMatScalarOperator(Mat43, op)) result.add(createMatScalarOperator(Mat44, op)) result.add(createMatMatMultiplicationOperator(Mat22, Mat22, Mat22)) result.add(createMatMatMultiplicationOperator(Mat22, Mat23, Mat23)) result.add(createMatMatMultiplicationOperator(Mat23, Mat32, Mat22)) result.add(createMatMatMultiplicationOperator(Mat23, Mat33, Mat23)) result.add(createMatMatMultiplicationOperator(Mat32, Mat22, Mat32)) result.add(createMatMatMultiplicationOperator(Mat32, Mat23, Mat33)) result.add(createMatMatMultiplicationOperator(Mat33, Mat32, Mat32)) result.add(createMatMatMultiplicationOperator(Mat33, Mat33, Mat33)) result.add(createMatMatMultiplicationOperator(Mat33, Mat34, Mat34)) result.add(createMatMatMultiplicationOperator(Mat43, Mat33, Mat43)) result.add(createMatMatMultiplicationOperator(Mat43, Mat34, Mat44)) result.add(createMatMatMultiplicationOperator(Mat44, Mat43, Mat43)) result.add(createMatMatMultiplicationOperator(Mat44, Mat44, Mat44)) result.add(createVecMatMultiplicationOperator(Mat22, Vec2)) result.add(createVecMatMultiplicationOperator(Mat33, Vec3)) result.add(createVecMatMultiplicationOperator(Mat44, Vec4)) createAllMultiplicationOperators() func transposed*[T](m: Mat22[T]): Mat22[T] = Mat22[T](data: [ m[0, 0], m[1, 0], m[0, 1], m[1, 1], ]) func transposed*[T](m: Mat23[T]): Mat32[T] = Mat32[T](data: [ m[0, 0], m[1, 0], m[0, 1], m[1, 1], m[0, 2], m[1, 2], ]) func transposed*[T](m: Mat32[T]): Mat23[T] = Mat23[T](data: [ m[0, 0], m[1, 0], m[2, 0], m[0, 1], m[1, 1], m[2, 1], ]) func transposed*[T](m: Mat33[T]): Mat33[T] = Mat33[T](data: [ m[0, 0], m[1, 0], m[2, 0], m[0, 1], m[1, 1], m[2, 1], m[0, 2], m[1, 2], m[2, 2], ]) func transposed*[T](m: Mat43[T]): Mat34[T] = Mat34[T](data: [ m[0, 0], m[1, 0], m[2, 0], m[3, 0], m[0, 1], m[1, 1], m[2, 1], m[3, 1], m[0, 2], m[1, 2], m[2, 2], m[3, 2], ]) func transposed*[T](m: Mat34[T]): Mat43[T] = Mat43[T](data: [ m[0, 0], m[1, 0], m[2, 0], m[0, 1], m[1, 1], m[2, 1], m[0, 2], m[1, 2], m[2, 2], m[0, 3], m[1, 3], m[2, 3], ]) func transposed*[T](m: Mat44[T]): Mat44[T] = Mat44[T](data: [ m[0, 0], m[1, 0], m[2, 0], m[3, 0], m[0, 1], m[1, 1], m[2, 1], m[3, 1], m[0, 2], m[1, 2], m[2, 2], m[3, 2], m[0, 3], m[1, 3], m[2, 3], m[3, 3], ]) func translate2d*[T](x, y: T): Mat33[T] = Mat33[T](data: [ T(1), T(0), x, T(0), T(1), y, T(0), T(0), T(1), ]) func scale2d*[T](sx, sy: T): Mat33[T] = Mat33[T](data: [ sx, T(0), T(0), T(0), sy, T(0), T(0), T(0), T(1), ]) func rotate2d*[T](angle: T): Mat33[T] = Mat33[T](data: [ cos(angle), -sin(angle), T(0), sin(angle), cos(angle), T(0), T(0), T(0), T(1), ]) func translate3d*[T](x, y, z: T): Mat44[T] = Mat44[T](data: [ T(1), T(0), T(0), x, T(0), T(1), T(0), y, T(0), T(0), T(1), z, T(0), T(0), T(0), T(1), ]) func scale3d*[T](sx, sy, sz: T): Mat44[T] = Mat44[T](data: [ sx, T(0), T(0), T(0), T(0), sy, T(0), T(0), T(0), T(0), sz, T(0), T(0), T(0), T(0), T(1), ]) func rotate3d*[T](angle: T, a: Vec3[T]): Mat44[T] = let cosa = cos(angle) sina = sin(angle) x = a.x y = a.y z = a.z Mat44[T](data: [ x * x * (1 - cosa) + cosa, y * x * (1 - cosa) - z * sina, z * x * (1 - cosa) + y * sina, T(0), x * y * (1 - cosa) + z * sina, y * y * (1 - cosa) + cosa, z * y * (1 - cosa) - x * sina, T(0), x * z * (1 - cosa) - y * sina, y * z * (1 - cosa) + x * sina, z * z * (1 - cosa) + cosa, T(0), T(0), T(0), T(0), 1, ]) # call e.g. Mat32[int]().randomized() to get a random matrix template makeRandomInit(mattype: typedesc) = proc randomized*[T: SomeInteger](m: mattype[T]): mattype[T] = for i in 0 ..< result.data.len: result.data[i] = rand(low(typeof(m.data[0])) .. high(typeof(m.data[0]))) proc randomized*[T: SomeFloat](m: mattype[T]): mattype[T] = for i in 0 ..< result.data.len: result.data[i] = rand(1.0) makeRandomInit(Mat22) makeRandomInit(Mat23) makeRandomInit(Mat32) makeRandomInit(Mat33) makeRandomInit(Mat34) makeRandomInit(Mat43) makeRandomInit(Mat44)