Follow clippy warnings
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@@ -7,7 +7,7 @@ use log::*;
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use crate::gaussian::Gaussian;
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use crate::gaussian::Gaussian;
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use crate::math;
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use crate::math;
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#[derive(Clone, Copy, Debug, PartialEq)]
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#[derive(Clone, Copy, Debug, PartialEq, Eq)]
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pub struct VariableId {
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pub struct VariableId {
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index: usize,
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index: usize,
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}
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}
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10
src/lib.rs
10
src/lib.rs
@@ -1,5 +1,4 @@
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#![allow(clippy::unreadable_literal, clippy::excessive_precision)]
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#![allow(clippy::unreadable_literal, clippy::excessive_precision)]
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#![warn(rust_2018_idioms)]
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mod factor_graph;
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mod factor_graph;
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mod gaussian;
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mod gaussian;
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@@ -234,7 +233,7 @@ impl TrueSkill {
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ranks[i] == ranks[i + 1],
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ranks[i] == ranks[i + 1],
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)
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)
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})
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})
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.collect::<Vec<_>>();;
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.collect::<Vec<_>>();
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for factor in &rating_layer {
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for factor in &rating_layer {
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factor.start(&mut variable_arena);
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factor.start(&mut variable_arena);
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@@ -328,15 +327,16 @@ impl TrueSkill {
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for n in t..t + current.len() {
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for n in t..t + current.len() {
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rotated_a_matrix[(row, n)] = flatten_weights[n];
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rotated_a_matrix[(row, n)] = flatten_weights[n];
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t += 1;
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x += 1;
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x += 1;
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}
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}
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t += current.len();
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for n in x..x + next.len() {
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for n in x..x + next.len() {
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rotated_a_matrix[(row, n)] = -flatten_weights[n];
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rotated_a_matrix[(row, n)] = -flatten_weights[n];
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x += 1;
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}
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}
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x += next.len();
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}
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}
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let a_matrix = rotated_a_matrix.transpose();
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let a_matrix = rotated_a_matrix.transpose();
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