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@ -155,7 +155,7 @@ impl<T: Scalar, const D: usize> Distribution<Point<T, D>> for Standard
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where
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Standard: Distribution<T>,
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{
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/// Generate a `Point` where each coordinate is an independent variate from `[0, 1)`.
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/// Generate a `Point` where each coordinate is an independent variate from `[0, 1)`.
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#[inline]
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fn sample<'a, G: Rng + ?Sized>(&self, rng: &mut G) -> Point<T, D> {
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Point::from(rng.gen::<SVector<T, D>>())
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@ -7,7 +7,7 @@ use quickcheck::{Arbitrary, Gen};
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#[cfg(feature = "rand-no-std")]
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use rand::{
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distributions::{Distribution, OpenClosed01, Standard, Uniform, uniform::SampleUniform},
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distributions::{uniform::SampleUniform, Distribution, OpenClosed01, Standard, Uniform},
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Rng,
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};
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@ -7,7 +7,7 @@ use num::Zero;
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#[cfg(feature = "rand-no-std")]
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use rand::{
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distributions::{Distribution, OpenClosed01, Standard, Uniform, uniform::SampleUniform},
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distributions::{uniform::SampleUniform, Distribution, OpenClosed01, Standard, Uniform},
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Rng,
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};
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@ -2,7 +2,10 @@
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use quickcheck::{Arbitrary, Gen};
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#[cfg(feature = "rand-no-std")]
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use rand::{distributions::{Distribution, Standard}, Rng};
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use rand::{
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distributions::{Distribution, Standard},
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Rng,
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};
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use num::One;
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use num_complex::Complex;
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