forked from M-Labs/nalgebra
Always use Cast<f64>
instead of Cast<f32>
.
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6b4b25acd4
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@ -383,7 +383,7 @@ pub fn sqdist<N: Float, P: FloatPnt<N, V>, V: Norm<N>>(a: &P, b: &P) -> N {
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/// Computes a projection matrix given the frustrum near plane width, height, the field of
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/// Computes a projection matrix given the frustrum near plane width, height, the field of
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/// view, and the distance to the clipping planes (`znear` and `zfar`).
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/// view, and the distance to the clipping planes (`znear` and `zfar`).
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#[deprecated = "Use `Persp3::new(width / height, fov, znear, zfar).as_mat()` instead"]
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#[deprecated = "Use `Persp3::new(width / height, fov, znear, zfar).as_mat()` instead"]
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pub fn perspective3d<N: FloatMath + Cast<f32> + Zero + One>(width: N, height: N, fov: N, znear: N, zfar: N) -> Mat4<N> {
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pub fn perspective3d<N: FloatMath + Cast<f64> + Zero + One>(width: N, height: N, fov: N, znear: N, zfar: N) -> Mat4<N> {
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let aspect = width / height;
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let aspect = width / height;
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let _1: N = one();
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let _1: N = one();
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@ -500,10 +500,10 @@ impl<N: Clone> Transpose for DMat<N> {
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}
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}
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}
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}
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impl<N: Num + Cast<f32> + Clone> Mean<DVec<N>> for DMat<N> {
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impl<N: Num + Cast<f64> + Clone> Mean<DVec<N>> for DMat<N> {
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fn mean(m: &DMat<N>) -> DVec<N> {
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fn mean(m: &DMat<N>) -> DVec<N> {
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let mut res: DVec<N> = DVec::new_zeros(m.ncols);
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let mut res: DVec<N> = DVec::new_zeros(m.ncols);
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let normalizer: N = Cast::from(1.0f32 / Cast::from(m.nrows));
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let normalizer: N = Cast::from(1.0f64 / Cast::from(m.nrows));
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for i in range(0u, m.nrows) {
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for i in range(0u, m.nrows) {
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for j in range(0u, m.ncols) {
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for j in range(0u, m.ncols) {
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@ -518,7 +518,7 @@ impl<N: Num + Cast<f32> + Clone> Mean<DVec<N>> for DMat<N> {
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}
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}
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}
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}
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impl<N: Clone + Num + Cast<f32> + DMatDivRhs<N, DMat<N>>> Cov<DMat<N>> for DMat<N> {
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impl<N: Clone + Num + Cast<f64> + DMatDivRhs<N, DMat<N>>> Cov<DMat<N>> for DMat<N> {
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// FIXME: this could be heavily optimized, removing all temporaries by merging loops.
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// FIXME: this could be heavily optimized, removing all temporaries by merging loops.
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fn cov(m: &DMat<N>) -> DMat<N> {
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fn cov(m: &DMat<N>) -> DMat<N> {
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assert!(m.nrows > 1);
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assert!(m.nrows > 1);
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@ -536,7 +536,7 @@ impl<N: Clone + Num + Cast<f32> + DMatDivRhs<N, DMat<N>>> Cov<DMat<N>> for DMat<
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}
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}
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// FIXME: return a triangular matrix?
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// FIXME: return a triangular matrix?
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let fnormalizer: f32 = Cast::from(m.nrows() - 1);
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let fnormalizer: f64 = Cast::from(m.nrows() - 1);
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let normalizer: N = Cast::from(fnormalizer);
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let normalizer: N = Cast::from(fnormalizer);
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// FIXME: this will do 2 allocations for temporaries!
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// FIXME: this will do 2 allocations for temporaries!
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(Transpose::transpose_cpy(¢ered) * centered) / normalizer
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(Transpose::transpose_cpy(¢ered) * centered) / normalizer
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@ -26,7 +26,7 @@ macro_rules! iso_impl(
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macro_rules! rotation_matrix_impl(
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macro_rules! rotation_matrix_impl(
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($t: ident, $trot: ident, $tlv: ident, $tav: ident) => (
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($t: ident, $trot: ident, $tlv: ident, $tav: ident) => (
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impl<N: Cast<f32> + FloatMath + Num + Clone>
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impl<N: Cast<f64> + FloatMath + Num + Clone>
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RotationMatrix<N, $tlv<N>, $tav<N>, $trot<N>> for $t<N> {
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RotationMatrix<N, $tlv<N>, $tav<N>, $trot<N>> for $t<N> {
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#[inline]
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#[inline]
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fn to_rot_mat(&self) -> $trot<N> {
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fn to_rot_mat(&self) -> $trot<N> {
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@ -153,7 +153,7 @@ macro_rules! translate_impl(
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macro_rules! rotation_impl(
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macro_rules! rotation_impl(
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($t: ident, $trot: ident, $tav: ident) => (
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($t: ident, $trot: ident, $tav: ident) => (
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impl<N: Cast<f32> + FloatMath + Clone> Rotation<$tav<N>> for $t<N> {
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impl<N: Cast<f64> + FloatMath + Clone> Rotation<$tav<N>> for $t<N> {
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#[inline]
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#[inline]
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fn rotation(&self) -> $tav<N> {
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fn rotation(&self) -> $tav<N> {
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self.rotation.rotation()
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self.rotation.rotation()
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@ -205,7 +205,7 @@ impl<N: Clone + Float> Rot3<N> {
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}
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}
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}
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}
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impl<N: Clone + FloatMath + Cast<f32>>
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impl<N: Clone + FloatMath + Cast<f64>>
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Rotation<Vec3<N>> for Rot3<N> {
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Rotation<Vec3<N>> for Rot3<N> {
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#[inline]
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#[inline]
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fn rotation(&self) -> Vec3<N> {
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fn rotation(&self) -> Vec3<N> {
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@ -122,7 +122,7 @@ macro_rules! dim_impl(
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macro_rules! rotation_matrix_impl(
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macro_rules! rotation_matrix_impl(
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($t: ident, $tlv: ident, $tav: ident) => (
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($t: ident, $tlv: ident, $tav: ident) => (
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impl<N: Cast<f32> + FloatMath> RotationMatrix<N, $tlv<N>, $tav<N>, $t<N>> for $t<N> {
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impl<N: Cast<f64> + FloatMath> RotationMatrix<N, $tlv<N>, $tav<N>, $t<N>> for $t<N> {
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#[inline]
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#[inline]
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fn to_rot_mat(&self) -> $t<N> {
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fn to_rot_mat(&self) -> $t<N> {
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self.clone()
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self.clone()
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@ -154,7 +154,7 @@ impl<N: Float> Basis for Vec3<N> {
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}
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}
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// FIXME: this bad: this fixes definitly the number of samples…
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// FIXME: this bad: this fixes definitly the number of samples…
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static SAMPLES_2_F32: [Vec2<f32>, ..21] = [
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static SAMPLES_2_F64: [Vec2<f64>, ..21] = [
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Vec2 { x: 1.0, y: 0.0 },
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Vec2 { x: 1.0, y: 0.0 },
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Vec2 { x: 0.95557281, y: 0.29475517 },
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Vec2 { x: 0.95557281, y: 0.29475517 },
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Vec2 { x: 0.82623877, y: 0.56332006 },
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Vec2 { x: 0.82623877, y: 0.56332006 },
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@ -179,7 +179,7 @@ static SAMPLES_2_F32: [Vec2<f32>, ..21] = [
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];
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];
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// Those vectors come from bullet 3d
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// Those vectors come from bullet 3d
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static SAMPLES_3_F32: [Vec3<f32>, ..42] = [
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static SAMPLES_3_F64: [Vec3<f64>, ..42] = [
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Vec3 { x: 0.000000 , y: -0.000000, z: -1.000000 },
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Vec3 { x: 0.000000 , y: -0.000000, z: -1.000000 },
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Vec3 { x: 0.723608 , y: -0.525725, z: -0.447219 },
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Vec3 { x: 0.723608 , y: -0.525725, z: -0.447219 },
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Vec3 { x: -0.276388, y: -0.850649, z: -0.447219 },
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Vec3 { x: -0.276388, y: -0.850649, z: -0.447219 },
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@ -231,25 +231,25 @@ impl<N: One + Clone> UniformSphereSample for Vec1<N> {
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}
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}
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}
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}
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impl<N: Cast<f32> + Clone> UniformSphereSample for Vec2<N> {
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impl<N: Cast<f64> + Clone> UniformSphereSample for Vec2<N> {
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#[inline(always)]
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#[inline(always)]
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fn sample(f: |Vec2<N>| -> ()) {
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fn sample(f: |Vec2<N>| -> ()) {
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for sample in SAMPLES_2_F32.iter() {
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for sample in SAMPLES_2_F64.iter() {
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f(Cast::from(*sample))
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f(Cast::from(*sample))
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}
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}
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}
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}
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}
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}
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impl<N: Cast<f32> + Clone> UniformSphereSample for Vec3<N> {
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impl<N: Cast<f64> + Clone> UniformSphereSample for Vec3<N> {
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#[inline(always)]
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#[inline(always)]
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fn sample(f: |Vec3<N>| -> ()) {
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fn sample(f: |Vec3<N>| -> ()) {
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for sample in SAMPLES_3_F32.iter() {
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for sample in SAMPLES_3_F64.iter() {
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f(Cast::from(*sample))
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f(Cast::from(*sample))
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}
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}
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}
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}
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}
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}
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impl<N: Cast<f32> + Clone> UniformSphereSample for Vec4<N> {
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impl<N: Cast<f64> + Clone> UniformSphereSample for Vec4<N> {
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#[inline(always)]
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#[inline(always)]
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fn sample(_: |Vec4<N>| -> ()) {
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fn sample(_: |Vec4<N>| -> ()) {
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panic!("UniformSphereSample::<Vec4<N>>::sample : Not yet implemented.")
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panic!("UniformSphereSample::<Vec4<N>>::sample : Not yet implemented.")
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