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| author | Alexis Brodeur <brodeuralexis@gmail.com> | 2020-02-03 19:24:21 +0000 |
|---|---|---|
| committer | Alexis Brodeur <brodeuralexis@gmail.com> | 2020-02-03 19:24:21 +0000 |
| commit | 950ba8520cdfdf3e3f000ba6006b249dd9fa0251 (patch) | |
| tree | be7f9c0acfbb226ef1484a23bb229da171f7399e /src/vector.zig | |
| download | glm-zig-950ba8520cdfdf3e3f000ba6006b249dd9fa0251.tar.gz glm-zig-950ba8520cdfdf3e3f000ba6006b249dd9fa0251.zip | |
Initial commit
Diffstat (limited to 'src/vector.zig')
| -rw-r--r-- | src/vector.zig | 304 |
1 files changed, 304 insertions, 0 deletions
diff --git a/src/vector.zig b/src/vector.zig new file mode 100644 index 0000000..2453992 --- /dev/null +++ b/src/vector.zig @@ -0,0 +1,304 @@ +const std = @import("std"); +const math = std.math; + +/// The type of a vector. +pub fn Vector(comptime N: usize) type { + return packed struct { + const Self = @This(); + /// The scalar type manager by this vector. + pub const Scalar = f32; + + values: [N]Scalar, + + /// Initializes a vector from its scalar values. + pub fn init(values: [N]Scalar) Self { + return .{ .values = values }; + } + + /// Creates a vector filled with the given scalar value. + pub fn filled(n: Scalar) Self { + var values: [N]Scalar = undefined; + comptime var i = 0; + inline while (i < N) : (i += 1) { + values[i] = n; + } + return .{ .values = values }; + } + + /// Creates a vector filled with zeroes. + pub fn zeroes() Self { + return comptime Self.filled(0); + } + + /// Sums all scalars in this vector. + pub fn sum(self: Self) Scalar { + var total: Scalar = 0; + + comptime var i = 0; + inline while (i < N) : (i += 1) { + total += self.values[i]; + } + + return total; + } + + /// Adds 2 vector together. + pub fn add(self: Self, other: Self) Self { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = other.values; + + return .{ .values = left + right }; + } + + /// Adds another vector to this vector. + pub fn addAssign(self: *Self, other: Self) void { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = other.values; + + self.values = left + right; + } + + /// Subtracts 2 vector together. + pub fn sub(self: Self, other: Self) Self { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = other.values; + + return .{ .values = left - right }; + } + + /// Adds another vector to this vector. + pub fn subAssign(self: *Self, other: Self) void { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = other.values; + + self.values = left - right; + } + + /// Multiplies 2 vectors together. + pub fn mul(self: Self, other: Self) Self { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = other.values; + + return .{ .values = left * right }; + } + + /// Multiplies a vector and a scalar together. + pub fn mulScalar(self: Self, n: Scalar) Self { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = Self.filled(n).values; + + return .{ .values = left * right }; + } + + /// Multiplies this vector with another vector. + pub fn mulAssign(self: *Self, other: Self) void { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = other.values; + + self.values = left * right; + } + + /// Multiplies this vector with a scalar. + pub fn mulAssignScalar(self: *Self, n: Scalar) void { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = Self.filled(n).values; + + self.values = left * right; + } + + /// Multiplies 2 vectors together. + pub fn div(self: Self, other: Self) Self { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = other.values; + + return .{ .values = left / right }; + } + + /// Multiplies a vector and a scalar together. + pub fn divScalar(self: Self, n: Scalar) Self { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = Self.filled(n).values; + + return .{ .values = left / right }; + } + + /// Multiplies this vector with another vector. + pub fn divAssign(self: *Self, other: Self) void { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = other.values; + + self.values = left / right; + } + + /// Multiplies this vector with a scalar. + pub fn divAssignScalar(self: *Self, n: Scalar) void { + const left: @Vector(N, Scalar) = self.values; + const right: @Vector(N, Scalar) = Self.filled(n).values; + + self.values = left / right; + } + + /// Calculates the dot product of 2 vectors. + pub fn dot(self: Self, other: Self) Scalar { + return self.mul(other).sum(); + } + + /// Calculates the norm squared of this vector. + pub fn normSquared(self: Self) Scalar { + return self.dot(self); + } + + /// Calculates the norm of this vector. + pub fn norm(self: Self) Scalar { + return math.sqrt(self.normSquared()); + } + + /// Returns a normalized version of this vector. + pub fn normalize(self: Self) Self { + const values: @Vector(N, Scalar) = self.values; + const norms: @Vector(N, Scalar) = Self.filled(self.norm()).values; + + return .{ .values = values / norms }; + } + + /// Make this vector normalized. + pub fn normalizeAssign(self: *Self) void { + const values: @Vector(N, Scalar) = self.values; + const norms: @Vector(N, Scalar) = Self.filled(self.norm()).values; + + self.values = values / norms; + } + + /// Calculates the cross product of 2 vectors. + pub fn cross(self: Self, other: Self) Self { + if (N != 3) { + @compileError("A cross product can only be calculated for a 3D vector."); + } + + const values = [3]Scalar{ + self.values[1] * other.values[2] - self.values[2] * other.values[1], + self.values[2] * other.values[0] - self.values[0] * other.values[2], + self.values[0] * other.values[1] - self.values[1] * other.values[0], + }; + + return Self{ .values = values }; + } + }; +} + +fn expectVectorEqual(comptime N: usize, expected: Vector(N), actual: Vector(N)) void { + comptime var i = 0; + inline while (i < N) : (i += 1) { + std.testing.expectEqual(expected.values[i], actual.values[i]); + } +} + +test "vector initialization" { + const actual = Vector(2).init(.{ 1, 2 }); + std.testing.expectEqual(@floatCast(f32, 1), actual.values[0]); + std.testing.expectEqual(@floatCast(f32, 2), actual.values[1]); +} + +test "vector scalar initialization" { + const v = Vector(3).filled(3); + expectVectorEqual(3, Vector(3).init(.{ 3, 3, 3 }), v); +} + +test "vector zero initialization" { + const v = Vector(3).zeroes(); + expectVectorEqual(3, Vector(3).init(.{ 0, 0, 0 }), v); +} + +test "vector summation" { + const v = Vector(3).init(.{ 1, 2, 3 }); + std.testing.expectEqual(@floatCast(f32, 6), v.sum()); +} + +test "vectors addition" { + const v1 = Vector(3).init(.{ 3, 4, 5 }); + const v2 = Vector(3).init(.{ 6, 7, 8 }); + expectVectorEqual(3, Vector(3).init(.{ 9, 11, 13 }), v1.add(v2)); + + var v3 = Vector(3).init(.{ 1, 2, 3 }); + v3.addAssign(Vector(3).init(.{ 3, 2, 1 })); + expectVectorEqual(3, Vector(3).init(.{ 4, 4, 4 }), v3); +} + +test "vectors subtraction" { + const v1 = Vector(3).init(.{ 3, 4, 5 }); + const v2 = Vector(3).init(.{ 6, 7, 8 }); + expectVectorEqual(3, Vector(3).init(.{ -3, -3, -3 }), v1.sub(v2)); + + var v3 = Vector(3).init(.{ 1, 2, 3 }); + v3.subAssign(Vector(3).init(.{ 3, 2, 1 })); + expectVectorEqual(3, Vector(3).init(.{ -2, 0, 2 }), v3); +} + +test "vector multiplication" { + const v1 = Vector(3).init(.{ 3, 4, 5 }); + const v2 = Vector(3).init(.{ 6, 7, 8 }); + expectVectorEqual(3, Vector(3).init(.{ 18, 28, 40 }), v1.mul(v2)); + + var v3 = Vector(3).init(.{ 1, 2, 3 }); + v3.mulAssign(Vector(3).init(.{ 3, 2, 1 })); + expectVectorEqual(3, Vector(3).init(.{ 3, 4, 3 }), v3); +} + +test "vector scalar multiplication" { + const v1 = Vector(3).init(.{ 3, 4, 5 }); + expectVectorEqual(3, Vector(3).init(.{ 6, 8, 10 }), v1.mulScalar(2)); + + var v3 = Vector(3).init(.{ 1, 2, 3 }); + v3.mulAssignScalar(3); + expectVectorEqual(3, Vector(3).init(.{ 3, 6, 9 }), v3); +} + +test "vector division" { + const v1 = Vector(3).init(.{ 10, 20, 30 }); + const v2 = Vector(3).init(.{ 5, 2, 6 }); + expectVectorEqual(3, Vector(3).init(.{ 2, 10, 5 }), v1.div(v2)); + + var v3 = Vector(3).init(.{ 3, 2, 6 }); + v3.divAssign(Vector(3).init(.{ 1, 2, 3 })); + expectVectorEqual(3, Vector(3).init(.{ 3, 1, 2 }), v3); +} + +test "vector scalar division" { + const v1 = Vector(3).init(.{ 12, 24, 36 }); + expectVectorEqual(3, Vector(3).init(.{ 1, 2, 3 }), v1.divScalar(12)); + + var v3 = Vector(3).init(.{ 1, 2, 3 }); + v3.divAssignScalar(1); + expectVectorEqual(3, Vector(3).init(.{ 1, 2, 3 }), v3); +} + +test "vector dot product" { + const v1 = Vector(3).init(.{ 1, 2, 3 }); + const v2 = Vector(3).init(.{ 4, 5, 6 }); + std.testing.expectEqual(@floatCast(f32, 32), v1.dot(v2)); +} + +test "vector norm squared" { + const v1 = Vector(2).init(.{ 3, 4 }); + std.testing.expectEqual(@floatCast(f32, 25), v1.normSquared()); +} + +test "vector norm" { + const v1 = Vector(2).init(.{ 3, 4 }); + std.testing.expectEqual(@floatCast(f32, 5), v1.norm()); +} + +test "vector normalization" { + const v1 = Vector(3).init(.{ 30, 10, 20 }); + expectVectorEqual(3, Vector(3).init(.{0.80178372573729, 0.26726124191243, 0.53452248382486}), v1.normalize()); + + var v2 = Vector(3).init(.{ 60, 20, 40 }); + v2.normalizeAssign(); + expectVectorEqual(3, Vector(3).init(.{0.80178372573729, 0.26726124191243, 0.53452248382486}), v2); +} + +test "vector cross product" { + const v1 = Vector(3).init(.{ 4, 5, 6 }); + const v2 = Vector(3).init(.{ 7, 8, 9 }); + expectVectorEqual(3, Vector(3).init(.{ -3, 6, -3 }), v1.cross(v2)); +} |
