[INFO] fetching crate ruvector-math 2.0.6...
[INFO] testing ruvector-math-2.0.6 against 1.95.0 for beta-1.96-2
[INFO] extracting crate ruvector-math 2.0.6 into /workspace/builds/worker-1-tc1/source
[INFO] started tweaking crates.io crate ruvector-math 2.0.6
[INFO] finished tweaking crates.io crate ruvector-math 2.0.6
[INFO] tweaked toml for crates.io crate ruvector-math 2.0.6 written to /workspace/builds/worker-1-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate ruvector-math 2.0.6 on toolchain 1.95.0
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.95.0" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate ruvector-math 2.0.6 already has a lockfile, it will not be regenerated
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.95.0" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+1.95.0" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] e3a7aea295f2aac6c1687f9d307b4ba47dfd716720e5a54354de831cd16a03f5
[INFO] running `Command { std: "docker" "start" "-a" "e3a7aea295f2aac6c1687f9d307b4ba47dfd716720e5a54354de831cd16a03f5", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "e3a7aea295f2aac6c1687f9d307b4ba47dfd716720e5a54354de831cd16a03f5", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "e3a7aea295f2aac6c1687f9d307b4ba47dfd716720e5a54354de831cd16a03f5", kill_on_drop: false }`
[INFO] [stdout] e3a7aea295f2aac6c1687f9d307b4ba47dfd716720e5a54354de831cd16a03f5
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+1.95.0" "build" "--frozen" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 6933e008655eae486e5d32c741ab2ea5e5fa99dfb1c6adcac5ab31a22d0971bd
[INFO] running `Command { std: "docker" "start" "-a" "6933e008655eae486e5d32c741ab2ea5e5fa99dfb1c6adcac5ab31a22d0971bd", kill_on_drop: false }`
[INFO] [stderr]    Compiling num-traits v0.2.19
[INFO] [stderr]    Compiling libc v0.2.182
[INFO] [stderr]    Compiling bytemuck v1.25.0
[INFO] [stderr]    Compiling matrixmultiply v0.3.10
[INFO] [stderr]    Compiling rawpointer v0.2.1
[INFO] [stderr]    Compiling quote v1.0.44
[INFO] [stderr]    Compiling safe_arch v0.7.4
[INFO] [stderr]    Compiling syn v2.0.117
[INFO] [stderr]    Compiling wide v0.7.33
[INFO] [stderr]    Compiling approx v0.5.1
[INFO] [stderr]    Compiling num-complex v0.4.6
[INFO] [stderr]    Compiling num-integer v0.1.46
[INFO] [stderr]    Compiling getrandom v0.2.17
[INFO] [stderr]    Compiling num-rational v0.4.2
[INFO] [stderr]    Compiling rand_core v0.6.4
[INFO] [stderr]    Compiling rand_chacha v0.3.1
[INFO] [stderr]    Compiling rand v0.8.5
[INFO] [stderr]    Compiling thiserror-impl v2.0.18
[INFO] [stderr]    Compiling simba v0.9.1
[INFO] [stderr]    Compiling rand_distr v0.4.3
[INFO] [stderr]    Compiling thiserror v2.0.18
[INFO] [stderr]    Compiling nalgebra v0.33.2
[INFO] [stderr]    Compiling ruvector-math v2.0.6 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused import: `super::operations::*`
[INFO] [stdout]   --> src/product_manifold/mod.rs:31:13
[INFO] [stdout]    |
[INFO] [stdout] 31 |     pub use super::operations::*;
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `BirthDeathPair`
[INFO] [stdout]  --> src/homology/distance.rs:5:13
[INFO] [stdout]   |
[INFO] [stdout] 5 | use super::{BirthDeathPair, PersistenceDiagram};
[INFO] [stdout]   |             ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `HashMap`
[INFO] [stdout]  --> src/homology/simplex.rs:5:24
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::collections::{HashMap, HashSet};
[INFO] [stdout]   |                        ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Monomial`
[INFO] [stdout]  --> src/optimization/certificates.rs:5:25
[INFO] [stdout]   |
[INFO] [stdout] 5 | use super::polynomial::{Monomial, Polynomial, Term};
[INFO] [stdout]   |                         ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/graph_filter.rs:49:30
[INFO] [stdout]    |
[INFO] [stdout] 49 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 49 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout] 49 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/graph_filter.rs:67:30
[INFO] [stdout]    |
[INFO] [stdout] 67 |                 let lambda = (x + 1.0);
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 67 -                 let lambda = (x + 1.0);
[INFO] [stdout] 67 +                 let lambda = x + 1.0;
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/graph_filter.rs:85:30
[INFO] [stdout]    |
[INFO] [stdout] 85 |                 let lambda = (x + 1.0);
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 85 -                 let lambda = (x + 1.0);
[INFO] [stdout] 85 +                 let lambda = x + 1.0;
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/wavelets.rs:23:30
[INFO] [stdout]    |
[INFO] [stdout] 23 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 23 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout] 23 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/wavelets.rs:43:30
[INFO] [stdout]    |
[INFO] [stdout] 43 |                 let lambda = (x + 1.0);
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 43 -                 let lambda = (x + 1.0);
[INFO] [stdout] 43 +                 let lambda = x + 1.0;
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::collections::HashMap`
[INFO] [stdout]  --> src/tensor_networks/contraction.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::collections::HashMap;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `TropicalMin` and `Tropical`
[INFO] [stdout]  --> src/tropical/matrix.rs:9:23
[INFO] [stdout]   |
[INFO] [stdout] 9 | use super::semiring::{Tropical, TropicalMin};
[INFO] [stdout]   |                       ^^^^^^^^  ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::collections::hash_map::DefaultHasher`
[INFO] [stdout]   --> src/tropical/neural_analysis.rs:48:13
[INFO] [stdout]    |
[INFO] [stdout] 48 |         use std::collections::hash_map::DefaultHasher;
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Hash` and `Hasher`
[INFO] [stdout]   --> src/tropical/neural_analysis.rs:49:25
[INFO] [stdout]    |
[INFO] [stdout] 49 |         use std::hash::{Hash, Hasher};
[INFO] [stdout]    |                         ^^^^  ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `super::semiring::Tropical`
[INFO] [stdout]  --> src/tropical/polynomial.rs:8:5
[INFO] [stdout]   |
[INFO] [stdout] 8 | use super::semiring::Tropical;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `matched1` is assigned to, but never used
[INFO] [stdout]   --> src/homology/distance.rs:82:13
[INFO] [stdout]    |
[INFO] [stdout] 82 |         let mut matched1 = 0;
[INFO] [stdout]    |             ^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: consider using `_matched1` instead
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `matched1` is never read
[INFO] [stdout]   --> src/homology/distance.rs:98:21
[INFO] [stdout]    |
[INFO] [stdout] 98 |                     matched1 += 1;
[INFO] [stdout]    |                     ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = help: maybe it is overwritten before being read?
[INFO] [stdout]    = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `matched1` is never read
[INFO] [stdout]    --> src/homology/distance.rs:103:13
[INFO] [stdout]     |
[INFO] [stdout] 103 |             matched1 += 1;
[INFO] [stdout]     |             ^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/optimization/sdp.rs:225:43
[INFO] [stdout]     |
[INFO] [stdout] 225 |         let mut v: Vec<f64> = (0..n).map(|i| 1.0 / (n as f64).sqrt()).collect();
[INFO] [stdout]     |                                           ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/optimization/sdp.rs:203:43
[INFO] [stdout]     |
[INFO] [stdout] 203 |         let mut v: Vec<f64> = (0..n).map(|i| 1.0 / (n as f64).sqrt()).collect();
[INFO] [stdout]     |                                           ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n`
[INFO] [stdout]    --> src/spectral/clustering.rs:114:13
[INFO] [stdout]     |
[INFO] [stdout] 114 |         let n = laplacian.n;
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/spectral/clustering.rs:231:17
[INFO] [stdout]     |
[INFO] [stdout] 231 |             let mut distances: Vec<f64> = (0..n)
[INFO] [stdout]     |                 ----^^^^^^^^^
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 help: remove this `mut`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:246:9
[INFO] [stdout]     |
[INFO] [stdout] 246 |     let mut out_indices = vec![0usize; out_dims.len()];
[INFO] [stdout]     |         ----^^^^^^^^^^^
[INFO] [stdout]     |         |
[INFO] [stdout]     |         help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:275:17
[INFO] [stdout]     |
[INFO] [stdout] 275 |             let mut out_idx_copy = out_flat;
[INFO] [stdout]     |                 ----^^^^^^^^^^^^
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `size1`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:238:9
[INFO] [stdout]     |
[INFO] [stdout] 238 |     let size1 = node1.size();
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_size1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `size2`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:239:9
[INFO] [stdout]     |
[INFO] [stdout] 239 |     let size2 = node2.size();
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_size2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `out_indices`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:246:9
[INFO] [stdout]     |
[INFO] [stdout] 246 |     let mut out_indices = vec![0usize; out_dims.len()];
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_out_indices`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i2`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:384:14
[INFO] [stdout]     |
[INFO] [stdout] 384 |         for (i2, label2) in n2.leg_labels.iter().enumerate() {
[INFO] [stdout]     |              ^^ help: if this is intentional, prefix it with an underscore: `_i2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `end`
[INFO] [stdout]   --> src/tensor_networks/tensor_train.rs:74:13
[INFO] [stdout]    |
[INFO] [stdout] 74 |         let end = start + self.rank_left * self.rank_right;
[INFO] [stdout]    |             ^^^ help: if this is intentional, prefix it with an underscore: `_end`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_networks/tensor_train.rs:276:17
[INFO] [stdout]     |
[INFO] [stdout] 276 |             let mut new_data = vec![0.0; new_rl * n * new_rr];
[INFO] [stdout]     |                 ----^^^^^^^^
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `k`
[INFO] [stdout]    --> src/tensor_networks/tensor_train.rs:346:13
[INFO] [stdout]     |
[INFO] [stdout] 346 |         for k in 0..d - 1 {
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_k`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `f`
[INFO] [stdout]    --> src/tensor_networks/tucker.rs:106:23
[INFO] [stdout]     |
[INFO] [stdout] 106 |             .map(|(k, f)| self.shape[k] * self.core_shape[k])
[INFO] [stdout]     |                       ^ help: if this is intentional, prefix it with an underscore: `_f`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_k`
[INFO] [stdout]    --> src/tensor_networks/tucker.rs:253:5
[INFO] [stdout]     |
[INFO] [stdout] 253 |     n_k: usize,
[INFO] [stdout]     |     ^^^ help: if this is intentional, prefix it with an underscore: `_n_k`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_damping` and `with_ema` are never used
[INFO] [stdout]   --> src/information_geometry/kfac.rs:59:12
[INFO] [stdout]    |
[INFO] [stdout] 42 | impl KFACLayer {
[INFO] [stdout]    | -------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 59 |     pub fn with_damping(mut self, damping: f64) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 65 |     pub fn with_ema(mut self, ema: f64) -> Self {
[INFO] [stdout]    |            ^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `DiagonalNaturalGradient` is never constructed
[INFO] [stdout]    --> src/information_geometry/natural_gradient.rs:197:12
[INFO] [stdout]     |
[INFO] [stdout] 197 | pub struct DiagonalNaturalGradient {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_damping`, `step`, and `reset` are never used
[INFO] [stdout]    --> src/information_geometry/natural_gradient.rs:208:12
[INFO] [stdout]     |
[INFO] [stdout] 206 | impl DiagonalNaturalGradient {
[INFO] [stdout]     | ---------------------------- associated items in this implementation
[INFO] [stdout] 207 |     /// Create new diagonal natural gradient optimizer
[INFO] [stdout] 208 |     pub fn new(learning_rate: f64, dim: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 217 |     pub fn with_damping(mut self, damping: f64) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 223 |     pub fn step(&mut self, parameters: &mut [f64], gradient: &[f64]) -> Result<f64> {
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] ...
[INFO] [stdout] 247 |     pub fn reset(&mut self) {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `spherical` is never read
[INFO] [stdout]   --> src/product_manifold/manifold.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | pub struct ProductManifold {
[INFO] [stdout]    |            --------------- field in this struct
[INFO] [stdout] 11 |     config: ProductManifoldConfig,
[INFO] [stdout] 12 |     spherical: Option<SphericalSpace>,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `ProductManifold` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `PersistenceLandscape` is never constructed
[INFO] [stdout]    --> src/homology/distance.rs:213:12
[INFO] [stdout]     |
[INFO] [stdout] 213 | pub struct PersistenceLandscape {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `from_diagram`, `l2_distance`, and `to_vector` are never used
[INFO] [stdout]    --> src/homology/distance.rs:224:12
[INFO] [stdout]     |
[INFO] [stdout] 222 | impl PersistenceLandscape {
[INFO] [stdout]     | ------------------------- associated items in this implementation
[INFO] [stdout] 223 |     /// Compute landscape from persistence diagram
[INFO] [stdout] 224 |     pub fn from_diagram(
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 291 |     pub fn l2_distance(&self, other: &Self) -> f64 {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 315 |     pub fn to_vector(&self) -> Vec<f64> {
[INFO] [stdout]     |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MonotonicityCertificate` is never constructed
[INFO] [stdout]    --> src/optimization/certificates.rs:200:12
[INFO] [stdout]     |
[INFO] [stdout] 200 | pub struct MonotonicityCertificate {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated functions `certify` and `partial_derivative` are never used
[INFO] [stdout]    --> src/optimization/certificates.rs:213:12
[INFO] [stdout]     |
[INFO] [stdout] 211 | impl MonotonicityCertificate {
[INFO] [stdout]     | ---------------------------- associated functions in this implementation
[INFO] [stdout] 212 |     /// Check monotonicity of p with respect to variable i
[INFO] [stdout] 213 |     pub fn certify(p: &Polynomial, variable: usize) -> Self {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 239 |     fn partial_derivative(p: &Polynomial, var: usize) -> Polynomial {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MultiscaleFilter` is never constructed
[INFO] [stdout]    --> src/spectral/graph_filter.rs:225:12
[INFO] [stdout]     |
[INFO] [stdout] 225 | pub struct MultiscaleFilter {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `heat_scales`, `apply_all`, and `scales` are never used
[INFO] [stdout]    --> src/spectral/graph_filter.rs:234:12
[INFO] [stdout]     |
[INFO] [stdout] 232 | impl MultiscaleFilter {
[INFO] [stdout]     | --------------------- associated items in this implementation
[INFO] [stdout] 233 |     /// Create multiscale heat diffusion filters
[INFO] [stdout] 234 |     pub fn heat_scales(laplacian: ScaledLaplacian, scales: Vec<f64>, degree: usize) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 244 |     pub fn apply_all(&self, signal: &[f64]) -> Vec<Vec<f64>> {
[INFO] [stdout]     |            ^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 249 |     pub fn scales(&self) -> &[f64] {
[INFO] [stdout]     |            ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `degree` is never read
[INFO] [stdout]    --> src/spectral/wavelets.rs:110:5
[INFO] [stdout]     |
[INFO] [stdout] 102 | pub struct SpectralWaveletTransform {
[INFO] [stdout]     |            ------------------------ field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 110 |     degree: usize,
[INFO] [stdout]     |     ^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `SpectralWaveletTransform` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MultivariateTropicalPolynomial` is never constructed
[INFO] [stdout]    --> src/tropical/polynomial.rs:188:12
[INFO] [stdout]     |
[INFO] [stdout] 188 | pub struct MultivariateTropicalPolynomial {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `eval`, and `num_terms` are never used
[INFO] [stdout]    --> src/tropical/polynomial.rs:197:12
[INFO] [stdout]     |
[INFO] [stdout] 195 | impl MultivariateTropicalPolynomial {
[INFO] [stdout]     | ----------------------------------- associated items in this implementation
[INFO] [stdout] 196 |     /// Create from terms
[INFO] [stdout] 197 |     pub fn new(nvars: usize, terms: Vec<(f64, Vec<i32>)>) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 202 |     pub fn eval(&self, x: &[f64]) -> f64 {
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] ...
[INFO] [stdout] 223 |     pub fn num_terms(&self) -> usize {
[INFO] [stdout]     |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `TropicalMin` is never constructed
[INFO] [stdout]    --> src/tropical/semiring.rs:141:12
[INFO] [stdout]     |
[INFO] [stdout] 141 | pub struct TropicalMin {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `ZERO`, `ONE`, `new`, `value`, `add`, and `mul` are never used
[INFO] [stdout]    --> src/tropical/semiring.rs:147:15
[INFO] [stdout]     |
[INFO] [stdout] 145 | impl TropicalMin {
[INFO] [stdout]     | ---------------- associated items in this implementation
[INFO] [stdout] 146 |     /// Tropical zero (+∞ in min-plus)
[INFO] [stdout] 147 |     pub const ZERO: TropicalMin = TropicalMin {
[INFO] [stdout]     |               ^^^^
[INFO] [stdout] ...
[INFO] [stdout] 152 |     pub const ONE: TropicalMin = TropicalMin { value: 0.0 };
[INFO] [stdout]     |               ^^^
[INFO] [stdout] ...
[INFO] [stdout] 156 |     pub fn new(value: f64) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 162 |     pub fn value(&self) -> f64 {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 168 |     pub fn add(&self, other: &Self) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 176 |     pub fn mul(&self, other: &Self) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/homology/mod.rs:67:5
[INFO] [stdout]    |
[INFO] [stdout] 67 |     pub coords: Vec<f64>,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout] note: the lint level is defined here
[INFO] [stdout]   --> src/lib.rs:87:9
[INFO] [stdout]    |
[INFO] [stdout] 87 | #![warn(missing_docs)]
[INFO] [stdout]    |         ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/optimization/sos.rs:36:14
[INFO] [stdout]    |
[INFO] [stdout] 36 |     NotSOS { witness: Vec<f64> },
[INFO] [stdout]    |              ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:12:15
[INFO] [stdout]    |
[INFO] [stdout] 12 |     LowPass { cutoff: f64 },
[INFO] [stdout]    |               ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:14:16
[INFO] [stdout]    |
[INFO] [stdout] 14 |     HighPass { cutoff: f64 },
[INFO] [stdout]    |                ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:16:16
[INFO] [stdout]    |
[INFO] [stdout] 16 |     BandPass { low: f64, high: f64 },
[INFO] [stdout]    |                ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:16:26
[INFO] [stdout]    |
[INFO] [stdout] 16 |     BandPass { low: f64, high: f64 },
[INFO] [stdout]    |                          ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:18:12
[INFO] [stdout]    |
[INFO] [stdout] 18 |     Heat { time: f64 },
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 20.95s
[INFO] running `Command { std: "docker" "inspect" "6933e008655eae486e5d32c741ab2ea5e5fa99dfb1c6adcac5ab31a22d0971bd", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "6933e008655eae486e5d32c741ab2ea5e5fa99dfb1c6adcac5ab31a22d0971bd", kill_on_drop: false }`
[INFO] [stdout] 6933e008655eae486e5d32c741ab2ea5e5fa99dfb1c6adcac5ab31a22d0971bd
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+1.95.0" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 4e54180ca6306b9ba0cf3a501ec3d4a783db8b009c779208f9c23250876c31b4
[INFO] running `Command { std: "docker" "start" "-a" "4e54180ca6306b9ba0cf3a501ec3d4a783db8b009c779208f9c23250876c31b4", kill_on_drop: false }`
[INFO] [stderr]    Compiling libc v0.2.182
[INFO] [stderr]    Compiling zerocopy v0.8.39
[INFO] [stderr]    Compiling getrandom v0.4.1
[INFO] [stderr]    Compiling num-traits v0.2.19
[INFO] [stderr]    Compiling syn v2.0.117
[INFO] [stderr]    Compiling clap_lex v1.0.0
[INFO] [stderr]    Compiling serde_json v1.0.149
[INFO] [stderr]    Compiling regex-automata v0.4.14
[INFO] [stderr]    Compiling bit-vec v0.8.0
[INFO] [stderr]    Compiling clap_builder v4.5.60
[INFO] [stderr]    Compiling bit-set v0.8.0
[INFO] [stderr]    Compiling num-integer v0.1.46
[INFO] [stderr]    Compiling approx v0.5.1
[INFO] [stderr]    Compiling num-complex v0.4.6
[INFO] [stderr]    Compiling plotters v0.3.7
[INFO] [stderr]    Compiling num-rational v0.4.2
[INFO] [stderr]    Compiling getrandom v0.2.17
[INFO] [stderr]    Compiling getrandom v0.3.4
[INFO] [stderr]    Compiling wait-timeout v0.2.1
[INFO] [stderr]    Compiling is-terminal v0.4.17
[INFO] [stderr]    Compiling tempfile v3.26.0
[INFO] [stderr]    Compiling regex v1.12.3
[INFO] [stderr]    Compiling rand_core v0.6.4
[INFO] [stderr]    Compiling rand_core v0.9.5
[INFO] [stderr]    Compiling simba v0.9.1
[INFO] [stderr]    Compiling rusty-fork v0.3.1
[INFO] [stderr]    Compiling rand_xorshift v0.4.0
[INFO] [stderr]    Compiling rand v0.9.2
[INFO] [stderr]    Compiling clap v4.5.60
[INFO] [stderr]    Compiling zerocopy-derive v0.8.39
[INFO] [stderr]    Compiling serde_derive v1.0.228
[INFO] [stderr]    Compiling thiserror-impl v2.0.18
[INFO] [stderr]    Compiling thiserror v2.0.18
[INFO] [stderr]    Compiling serde v1.0.228
[INFO] [stderr]    Compiling tinytemplate v1.2.1
[INFO] [stderr]    Compiling nalgebra v0.33.2
[INFO] [stderr]    Compiling ppv-lite86 v0.2.21
[INFO] [stderr]    Compiling half v2.7.1
[INFO] [stderr]    Compiling rand_chacha v0.3.1
[INFO] [stderr]    Compiling ciborium-ll v0.2.2
[INFO] [stderr]    Compiling rand_chacha v0.9.0
[INFO] [stderr]    Compiling ciborium v0.2.2
[INFO] [stderr]    Compiling proptest v1.10.0
[INFO] [stderr]    Compiling rand v0.8.5
[INFO] [stderr]    Compiling criterion v0.5.1
[INFO] [stderr]    Compiling rand_distr v0.4.3
[INFO] [stderr]    Compiling ruvector-math v2.0.6 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused import: `super::operations::*`
[INFO] [stdout]   --> src/product_manifold/mod.rs:31:13
[INFO] [stdout]    |
[INFO] [stdout] 31 |     pub use super::operations::*;
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `BirthDeathPair`
[INFO] [stdout]  --> src/homology/distance.rs:5:13
[INFO] [stdout]   |
[INFO] [stdout] 5 | use super::{BirthDeathPair, PersistenceDiagram};
[INFO] [stdout]   |             ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `HashMap`
[INFO] [stdout]  --> src/homology/simplex.rs:5:24
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::collections::{HashMap, HashSet};
[INFO] [stdout]   |                        ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Monomial`
[INFO] [stdout]  --> src/optimization/certificates.rs:5:25
[INFO] [stdout]   |
[INFO] [stdout] 5 | use super::polynomial::{Monomial, Polynomial, Term};
[INFO] [stdout]   |                         ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/graph_filter.rs:49:30
[INFO] [stdout]    |
[INFO] [stdout] 49 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 49 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout] 49 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/graph_filter.rs:67:30
[INFO] [stdout]    |
[INFO] [stdout] 67 |                 let lambda = (x + 1.0);
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 67 -                 let lambda = (x + 1.0);
[INFO] [stdout] 67 +                 let lambda = x + 1.0;
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/graph_filter.rs:85:30
[INFO] [stdout]    |
[INFO] [stdout] 85 |                 let lambda = (x + 1.0);
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 85 -                 let lambda = (x + 1.0);
[INFO] [stdout] 85 +                 let lambda = x + 1.0;
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/wavelets.rs:23:30
[INFO] [stdout]    |
[INFO] [stdout] 23 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 23 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout] 23 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/wavelets.rs:43:30
[INFO] [stdout]    |
[INFO] [stdout] 43 |                 let lambda = (x + 1.0);
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 43 -                 let lambda = (x + 1.0);
[INFO] [stdout] 43 +                 let lambda = x + 1.0;
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::collections::HashMap`
[INFO] [stdout]  --> src/tensor_networks/contraction.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::collections::HashMap;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `TropicalMin` and `Tropical`
[INFO] [stdout]  --> src/tropical/matrix.rs:9:23
[INFO] [stdout]   |
[INFO] [stdout] 9 | use super::semiring::{Tropical, TropicalMin};
[INFO] [stdout]   |                       ^^^^^^^^  ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::collections::hash_map::DefaultHasher`
[INFO] [stdout]   --> src/tropical/neural_analysis.rs:48:13
[INFO] [stdout]    |
[INFO] [stdout] 48 |         use std::collections::hash_map::DefaultHasher;
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Hash` and `Hasher`
[INFO] [stdout]   --> src/tropical/neural_analysis.rs:49:25
[INFO] [stdout]    |
[INFO] [stdout] 49 |         use std::hash::{Hash, Hasher};
[INFO] [stdout]    |                         ^^^^  ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `super::semiring::Tropical`
[INFO] [stdout]  --> src/tropical/polynomial.rs:8:5
[INFO] [stdout]   |
[INFO] [stdout] 8 | use super::semiring::Tropical;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `super::operations::*`
[INFO] [stdout]   --> src/product_manifold/mod.rs:31:13
[INFO] [stdout]    |
[INFO] [stdout] 31 |     pub use super::operations::*;
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `HashMap`
[INFO] [stdout]  --> src/homology/simplex.rs:5:24
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::collections::{HashMap, HashSet};
[INFO] [stdout]   |                        ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Monomial`
[INFO] [stdout]  --> src/optimization/certificates.rs:5:25
[INFO] [stdout]   |
[INFO] [stdout] 5 | use super::polynomial::{Monomial, Polynomial, Term};
[INFO] [stdout]   |                         ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/graph_filter.rs:49:30
[INFO] [stdout]    |
[INFO] [stdout] 49 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 49 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout] 49 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/graph_filter.rs:67:30
[INFO] [stdout]    |
[INFO] [stdout] 67 |                 let lambda = (x + 1.0);
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 67 -                 let lambda = (x + 1.0);
[INFO] [stdout] 67 +                 let lambda = x + 1.0;
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/graph_filter.rs:85:30
[INFO] [stdout]    |
[INFO] [stdout] 85 |                 let lambda = (x + 1.0);
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 85 -                 let lambda = (x + 1.0);
[INFO] [stdout] 85 +                 let lambda = x + 1.0;
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/wavelets.rs:23:30
[INFO] [stdout]    |
[INFO] [stdout] 23 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 23 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stdout] 23 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]   --> src/spectral/wavelets.rs:43:30
[INFO] [stdout]    |
[INFO] [stdout] 43 |                 let lambda = (x + 1.0);
[INFO] [stdout]    |                              ^       ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 43 -                 let lambda = (x + 1.0);
[INFO] [stdout] 43 +                 let lambda = x + 1.0;
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::collections::HashMap`
[INFO] [stdout]  --> src/tensor_networks/contraction.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::collections::HashMap;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `TropicalMin` and `Tropical`
[INFO] [stdout]  --> src/tropical/matrix.rs:9:23
[INFO] [stdout]   |
[INFO] [stdout] 9 | use super::semiring::{Tropical, TropicalMin};
[INFO] [stdout]   |                       ^^^^^^^^  ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::collections::hash_map::DefaultHasher`
[INFO] [stdout]   --> src/tropical/neural_analysis.rs:48:13
[INFO] [stdout]    |
[INFO] [stdout] 48 |         use std::collections::hash_map::DefaultHasher;
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Hash` and `Hasher`
[INFO] [stdout]   --> src/tropical/neural_analysis.rs:49:25
[INFO] [stdout]    |
[INFO] [stdout] 49 |         use std::hash::{Hash, Hasher};
[INFO] [stdout]    |                         ^^^^  ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `super::semiring::Tropical`
[INFO] [stdout]  --> src/tropical/polynomial.rs:8:5
[INFO] [stdout]   |
[INFO] [stdout] 8 | use super::semiring::Tropical;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `super::*`
[INFO] [stdout]    --> src/lib.rs:159:9
[INFO] [stdout]     |
[INFO] [stdout] 159 |     use super::*;
[INFO] [stdout]     |         ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `matched1` is assigned to, but never used
[INFO] [stdout]   --> src/homology/distance.rs:82:13
[INFO] [stdout]    |
[INFO] [stdout] 82 |         let mut matched1 = 0;
[INFO] [stdout]    |             ^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: consider using `_matched1` instead
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `matched1` is never read
[INFO] [stdout]   --> src/homology/distance.rs:98:21
[INFO] [stdout]    |
[INFO] [stdout] 98 |                     matched1 += 1;
[INFO] [stdout]    |                     ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = help: maybe it is overwritten before being read?
[INFO] [stdout]    = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `matched1` is never read
[INFO] [stdout]    --> src/homology/distance.rs:103:13
[INFO] [stdout]     |
[INFO] [stdout] 103 |             matched1 += 1;
[INFO] [stdout]     |             ^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/optimization/sdp.rs:225:43
[INFO] [stdout]     |
[INFO] [stdout] 225 |         let mut v: Vec<f64> = (0..n).map(|i| 1.0 / (n as f64).sqrt()).collect();
[INFO] [stdout]     |                                           ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/optimization/sdp.rs:203:43
[INFO] [stdout]     |
[INFO] [stdout] 203 |         let mut v: Vec<f64> = (0..n).map(|i| 1.0 / (n as f64).sqrt()).collect();
[INFO] [stdout]     |                                           ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n`
[INFO] [stdout]    --> src/spectral/clustering.rs:114:13
[INFO] [stdout]     |
[INFO] [stdout] 114 |         let n = laplacian.n;
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/spectral/clustering.rs:231:17
[INFO] [stdout]     |
[INFO] [stdout] 231 |             let mut distances: Vec<f64> = (0..n)
[INFO] [stdout]     |                 ----^^^^^^^^^
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 help: remove this `mut`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:246:9
[INFO] [stdout]     |
[INFO] [stdout] 246 |     let mut out_indices = vec![0usize; out_dims.len()];
[INFO] [stdout]     |         ----^^^^^^^^^^^
[INFO] [stdout]     |         |
[INFO] [stdout]     |         help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:275:17
[INFO] [stdout]     |
[INFO] [stdout] 275 |             let mut out_idx_copy = out_flat;
[INFO] [stdout]     |                 ----^^^^^^^^^^^^
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `size1`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:238:9
[INFO] [stdout]     |
[INFO] [stdout] 238 |     let size1 = node1.size();
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_size1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `size2`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:239:9
[INFO] [stdout]     |
[INFO] [stdout] 239 |     let size2 = node2.size();
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_size2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `out_indices`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:246:9
[INFO] [stdout]     |
[INFO] [stdout] 246 |     let mut out_indices = vec![0usize; out_dims.len()];
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_out_indices`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i2`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:384:14
[INFO] [stdout]     |
[INFO] [stdout] 384 |         for (i2, label2) in n2.leg_labels.iter().enumerate() {
[INFO] [stdout]     |              ^^ help: if this is intentional, prefix it with an underscore: `_i2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `end`
[INFO] [stdout]   --> src/tensor_networks/tensor_train.rs:74:13
[INFO] [stdout]    |
[INFO] [stdout] 74 |         let end = start + self.rank_left * self.rank_right;
[INFO] [stdout]    |             ^^^ help: if this is intentional, prefix it with an underscore: `_end`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_networks/tensor_train.rs:276:17
[INFO] [stdout]     |
[INFO] [stdout] 276 |             let mut new_data = vec![0.0; new_rl * n * new_rr];
[INFO] [stdout]     |                 ----^^^^^^^^
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `k`
[INFO] [stdout]    --> src/tensor_networks/tensor_train.rs:346:13
[INFO] [stdout]     |
[INFO] [stdout] 346 |         for k in 0..d - 1 {
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_k`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `f`
[INFO] [stdout]    --> src/tensor_networks/tucker.rs:106:23
[INFO] [stdout]     |
[INFO] [stdout] 106 |             .map(|(k, f)| self.shape[k] * self.core_shape[k])
[INFO] [stdout]     |                       ^ help: if this is intentional, prefix it with an underscore: `_f`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_k`
[INFO] [stdout]    --> src/tensor_networks/tucker.rs:253:5
[INFO] [stdout]     |
[INFO] [stdout] 253 |     n_k: usize,
[INFO] [stdout]     |     ^^^ help: if this is intentional, prefix it with an underscore: `_n_k`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_damping` and `with_ema` are never used
[INFO] [stdout]   --> src/information_geometry/kfac.rs:59:12
[INFO] [stdout]    |
[INFO] [stdout] 42 | impl KFACLayer {
[INFO] [stdout]    | -------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 59 |     pub fn with_damping(mut self, damping: f64) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 65 |     pub fn with_ema(mut self, ema: f64) -> Self {
[INFO] [stdout]    |            ^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `DiagonalNaturalGradient` is never constructed
[INFO] [stdout]    --> src/information_geometry/natural_gradient.rs:197:12
[INFO] [stdout]     |
[INFO] [stdout] 197 | pub struct DiagonalNaturalGradient {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_damping`, `step`, and `reset` are never used
[INFO] [stdout]    --> src/information_geometry/natural_gradient.rs:208:12
[INFO] [stdout]     |
[INFO] [stdout] 206 | impl DiagonalNaturalGradient {
[INFO] [stdout]     | ---------------------------- associated items in this implementation
[INFO] [stdout] 207 |     /// Create new diagonal natural gradient optimizer
[INFO] [stdout] 208 |     pub fn new(learning_rate: f64, dim: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 217 |     pub fn with_damping(mut self, damping: f64) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 223 |     pub fn step(&mut self, parameters: &mut [f64], gradient: &[f64]) -> Result<f64> {
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] ...
[INFO] [stdout] 247 |     pub fn reset(&mut self) {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `spherical` is never read
[INFO] [stdout]   --> src/product_manifold/manifold.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | pub struct ProductManifold {
[INFO] [stdout]    |            --------------- field in this struct
[INFO] [stdout] 11 |     config: ProductManifoldConfig,
[INFO] [stdout] 12 |     spherical: Option<SphericalSpace>,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `ProductManifold` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `PersistenceLandscape` is never constructed
[INFO] [stdout]    --> src/homology/distance.rs:213:12
[INFO] [stdout]     |
[INFO] [stdout] 213 | pub struct PersistenceLandscape {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `from_diagram`, `l2_distance`, and `to_vector` are never used
[INFO] [stdout]    --> src/homology/distance.rs:224:12
[INFO] [stdout]     |
[INFO] [stdout] 222 | impl PersistenceLandscape {
[INFO] [stdout]     | ------------------------- associated items in this implementation
[INFO] [stdout] 223 |     /// Compute landscape from persistence diagram
[INFO] [stdout] 224 |     pub fn from_diagram(
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 291 |     pub fn l2_distance(&self, other: &Self) -> f64 {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 315 |     pub fn to_vector(&self) -> Vec<f64> {
[INFO] [stdout]     |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MonotonicityCertificate` is never constructed
[INFO] [stdout]    --> src/optimization/certificates.rs:200:12
[INFO] [stdout]     |
[INFO] [stdout] 200 | pub struct MonotonicityCertificate {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated functions `certify` and `partial_derivative` are never used
[INFO] [stdout]    --> src/optimization/certificates.rs:213:12
[INFO] [stdout]     |
[INFO] [stdout] 211 | impl MonotonicityCertificate {
[INFO] [stdout]     | ---------------------------- associated functions in this implementation
[INFO] [stdout] 212 |     /// Check monotonicity of p with respect to variable i
[INFO] [stdout] 213 |     pub fn certify(p: &Polynomial, variable: usize) -> Self {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 239 |     fn partial_derivative(p: &Polynomial, var: usize) -> Polynomial {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MultiscaleFilter` is never constructed
[INFO] [stdout]    --> src/spectral/graph_filter.rs:225:12
[INFO] [stdout]     |
[INFO] [stdout] 225 | pub struct MultiscaleFilter {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `heat_scales`, `apply_all`, and `scales` are never used
[INFO] [stdout]    --> src/spectral/graph_filter.rs:234:12
[INFO] [stdout]     |
[INFO] [stdout] 232 | impl MultiscaleFilter {
[INFO] [stdout]     | --------------------- associated items in this implementation
[INFO] [stdout] 233 |     /// Create multiscale heat diffusion filters
[INFO] [stdout] 234 |     pub fn heat_scales(laplacian: ScaledLaplacian, scales: Vec<f64>, degree: usize) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 244 |     pub fn apply_all(&self, signal: &[f64]) -> Vec<Vec<f64>> {
[INFO] [stdout]     |            ^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 249 |     pub fn scales(&self) -> &[f64] {
[INFO] [stdout]     |            ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `degree` is never read
[INFO] [stdout]    --> src/spectral/wavelets.rs:110:5
[INFO] [stdout]     |
[INFO] [stdout] 102 | pub struct SpectralWaveletTransform {
[INFO] [stdout]     |            ------------------------ field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 110 |     degree: usize,
[INFO] [stdout]     |     ^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `SpectralWaveletTransform` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MultivariateTropicalPolynomial` is never constructed
[INFO] [stdout]    --> src/tropical/polynomial.rs:188:12
[INFO] [stdout]     |
[INFO] [stdout] 188 | pub struct MultivariateTropicalPolynomial {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `eval`, and `num_terms` are never used
[INFO] [stdout]    --> src/tropical/polynomial.rs:197:12
[INFO] [stdout]     |
[INFO] [stdout] 195 | impl MultivariateTropicalPolynomial {
[INFO] [stdout]     | ----------------------------------- associated items in this implementation
[INFO] [stdout] 196 |     /// Create from terms
[INFO] [stdout] 197 |     pub fn new(nvars: usize, terms: Vec<(f64, Vec<i32>)>) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 202 |     pub fn eval(&self, x: &[f64]) -> f64 {
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] ...
[INFO] [stdout] 223 |     pub fn num_terms(&self) -> usize {
[INFO] [stdout]     |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `TropicalMin` is never constructed
[INFO] [stdout]    --> src/tropical/semiring.rs:141:12
[INFO] [stdout]     |
[INFO] [stdout] 141 | pub struct TropicalMin {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `ZERO`, `ONE`, `new`, `value`, `add`, and `mul` are never used
[INFO] [stdout]    --> src/tropical/semiring.rs:147:15
[INFO] [stdout]     |
[INFO] [stdout] 145 | impl TropicalMin {
[INFO] [stdout]     | ---------------- associated items in this implementation
[INFO] [stdout] 146 |     /// Tropical zero (+∞ in min-plus)
[INFO] [stdout] 147 |     pub const ZERO: TropicalMin = TropicalMin {
[INFO] [stdout]     |               ^^^^
[INFO] [stdout] ...
[INFO] [stdout] 152 |     pub const ONE: TropicalMin = TropicalMin { value: 0.0 };
[INFO] [stdout]     |               ^^^
[INFO] [stdout] ...
[INFO] [stdout] 156 |     pub fn new(value: f64) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 162 |     pub fn value(&self) -> f64 {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 168 |     pub fn add(&self, other: &Self) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 176 |     pub fn mul(&self, other: &Self) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/homology/mod.rs:67:5
[INFO] [stdout]    |
[INFO] [stdout] 67 |     pub coords: Vec<f64>,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout] note: the lint level is defined here
[INFO] [stdout]   --> src/lib.rs:87:9
[INFO] [stdout]    |
[INFO] [stdout] 87 | #![warn(missing_docs)]
[INFO] [stdout]    |         ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/optimization/sos.rs:36:14
[INFO] [stdout]    |
[INFO] [stdout] 36 |     NotSOS { witness: Vec<f64> },
[INFO] [stdout]    |              ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:12:15
[INFO] [stdout]    |
[INFO] [stdout] 12 |     LowPass { cutoff: f64 },
[INFO] [stdout]    |               ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:14:16
[INFO] [stdout]    |
[INFO] [stdout] 14 |     HighPass { cutoff: f64 },
[INFO] [stdout]    |                ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:16:16
[INFO] [stdout]    |
[INFO] [stdout] 16 |     BandPass { low: f64, high: f64 },
[INFO] [stdout]    |                ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:16:26
[INFO] [stdout]    |
[INFO] [stdout] 16 |     BandPass { low: f64, high: f64 },
[INFO] [stdout]    |                          ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:18:12
[INFO] [stdout]    |
[INFO] [stdout] 18 |     Heat { time: f64 },
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `matched1` is assigned to, but never used
[INFO] [stdout]   --> src/homology/distance.rs:82:13
[INFO] [stdout]    |
[INFO] [stdout] 82 |         let mut matched1 = 0;
[INFO] [stdout]    |             ^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: consider using `_matched1` instead
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `matched1` is never read
[INFO] [stdout]   --> src/homology/distance.rs:98:21
[INFO] [stdout]    |
[INFO] [stdout] 98 |                     matched1 += 1;
[INFO] [stdout]    |                     ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = help: maybe it is overwritten before being read?
[INFO] [stdout]    = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `matched1` is never read
[INFO] [stdout]    --> src/homology/distance.rs:103:13
[INFO] [stdout]     |
[INFO] [stdout] 103 |             matched1 += 1;
[INFO] [stdout]     |             ^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/optimization/sdp.rs:225:43
[INFO] [stdout]     |
[INFO] [stdout] 225 |         let mut v: Vec<f64> = (0..n).map(|i| 1.0 / (n as f64).sqrt()).collect();
[INFO] [stdout]     |                                           ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/optimization/sdp.rs:203:43
[INFO] [stdout]     |
[INFO] [stdout] 203 |         let mut v: Vec<f64> = (0..n).map(|i| 1.0 / (n as f64).sqrt()).collect();
[INFO] [stdout]     |                                           ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n`
[INFO] [stdout]    --> src/spectral/clustering.rs:114:13
[INFO] [stdout]     |
[INFO] [stdout] 114 |         let n = laplacian.n;
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/spectral/clustering.rs:231:17
[INFO] [stdout]     |
[INFO] [stdout] 231 |             let mut distances: Vec<f64> = (0..n)
[INFO] [stdout]     |                 ----^^^^^^^^^
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 help: remove this `mut`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:246:9
[INFO] [stdout]     |
[INFO] [stdout] 246 |     let mut out_indices = vec![0usize; out_dims.len()];
[INFO] [stdout]     |         ----^^^^^^^^^^^
[INFO] [stdout]     |         |
[INFO] [stdout]     |         help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:275:17
[INFO] [stdout]     |
[INFO] [stdout] 275 |             let mut out_idx_copy = out_flat;
[INFO] [stdout]     |                 ----^^^^^^^^^^^^
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `size1`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:238:9
[INFO] [stdout]     |
[INFO] [stdout] 238 |     let size1 = node1.size();
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_size1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `size2`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:239:9
[INFO] [stdout]     |
[INFO] [stdout] 239 |     let size2 = node2.size();
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_size2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `out_indices`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:246:9
[INFO] [stdout]     |
[INFO] [stdout] 246 |     let mut out_indices = vec![0usize; out_dims.len()];
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_out_indices`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i2`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:384:14
[INFO] [stdout]     |
[INFO] [stdout] 384 |         for (i2, label2) in n2.leg_labels.iter().enumerate() {
[INFO] [stdout]     |              ^^ help: if this is intentional, prefix it with an underscore: `_i2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `id1`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:403:13
[INFO] [stdout]     |
[INFO] [stdout] 403 |         let id1 = network.add_node(
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_id1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `id2`
[INFO] [stdout]    --> src/tensor_networks/contraction.rs:409:13
[INFO] [stdout]     |
[INFO] [stdout] 409 |         let id2 = network.add_node(
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_id2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `a`
[INFO] [stdout]    --> src/tensor_networks/cp_decomposition.rs:399:14
[INFO] [stdout]     |
[INFO] [stdout] 399 |         for (a, b) in tensor.data.iter().zip(reconstructed.data.iter()) {
[INFO] [stdout]     |              ^ help: if this is intentional, prefix it with an underscore: `_a`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `b`
[INFO] [stdout]    --> src/tensor_networks/cp_decomposition.rs:399:17
[INFO] [stdout]     |
[INFO] [stdout] 399 |         for (a, b) in tensor.data.iter().zip(reconstructed.data.iter()) {
[INFO] [stdout]     |                 ^ help: if this is intentional, prefix it with an underscore: `_b`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `end`
[INFO] [stdout]   --> src/tensor_networks/tensor_train.rs:74:13
[INFO] [stdout]    |
[INFO] [stdout] 74 |         let end = start + self.rank_left * self.rank_right;
[INFO] [stdout]    |             ^^^ help: if this is intentional, prefix it with an underscore: `_end`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_networks/tensor_train.rs:276:17
[INFO] [stdout]     |
[INFO] [stdout] 276 |             let mut new_data = vec![0.0; new_rl * n * new_rr];
[INFO] [stdout]     |                 ----^^^^^^^^
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `k`
[INFO] [stdout]    --> src/tensor_networks/tensor_train.rs:346:13
[INFO] [stdout]     |
[INFO] [stdout] 346 |         for k in 0..d - 1 {
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_k`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `f`
[INFO] [stdout]    --> src/tensor_networks/tucker.rs:106:23
[INFO] [stdout]     |
[INFO] [stdout] 106 |             .map(|(k, f)| self.shape[k] * self.core_shape[k])
[INFO] [stdout]     |                       ^ help: if this is intentional, prefix it with an underscore: `_f`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_k`
[INFO] [stdout]    --> src/tensor_networks/tucker.rs:253:5
[INFO] [stdout]     |
[INFO] [stdout] 253 |     n_k: usize,
[INFO] [stdout]     |     ^^^ help: if this is intentional, prefix it with an underscore: `_n_k`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `with_ema` is never used
[INFO] [stdout]   --> src/information_geometry/kfac.rs:65:12
[INFO] [stdout]    |
[INFO] [stdout] 42 | impl KFACLayer {
[INFO] [stdout]    | -------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 65 |     pub fn with_ema(mut self, ema: f64) -> Self {
[INFO] [stdout]    |            ^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_damping` and `reset` are never used
[INFO] [stdout]    --> src/information_geometry/natural_gradient.rs:217:12
[INFO] [stdout]     |
[INFO] [stdout] 206 | impl DiagonalNaturalGradient {
[INFO] [stdout]     | ---------------------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 217 |     pub fn with_damping(mut self, damping: f64) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 247 |     pub fn reset(&mut self) {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `spherical` is never read
[INFO] [stdout]   --> src/product_manifold/manifold.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | pub struct ProductManifold {
[INFO] [stdout]    |            --------------- field in this struct
[INFO] [stdout] 11 |     config: ProductManifoldConfig,
[INFO] [stdout] 12 |     spherical: Option<SphericalSpace>,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `ProductManifold` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `variable` and `derivative_certificate` are never read
[INFO] [stdout]    --> src/optimization/certificates.rs:202:9
[INFO] [stdout]     |
[INFO] [stdout] 200 | pub struct MonotonicityCertificate {
[INFO] [stdout]     |            ----------------------- fields in this struct
[INFO] [stdout] 201 |     /// Variable index
[INFO] [stdout] 202 |     pub variable: usize,
[INFO] [stdout]     |         ^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 208 |     pub derivative_certificate: Option<NonnegativityCertificate>,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `MonotonicityCertificate` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `scales` is never read
[INFO] [stdout]    --> src/spectral/graph_filter.rs:229:5
[INFO] [stdout]     |
[INFO] [stdout] 225 | pub struct MultiscaleFilter {
[INFO] [stdout]     |            ---------------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 229 |     scales: Vec<f64>,
[INFO] [stdout]     |     ^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `MultiscaleFilter` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `scales` is never used
[INFO] [stdout]    --> src/spectral/graph_filter.rs:249:12
[INFO] [stdout]     |
[INFO] [stdout] 232 | impl MultiscaleFilter {
[INFO] [stdout]     | --------------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 249 |     pub fn scales(&self) -> &[f64] {
[INFO] [stdout]     |            ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `degree` is never read
[INFO] [stdout]    --> src/spectral/wavelets.rs:110:5
[INFO] [stdout]     |
[INFO] [stdout] 102 | pub struct SpectralWaveletTransform {
[INFO] [stdout]     |            ------------------------ field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 110 |     degree: usize,
[INFO] [stdout]     |     ^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `SpectralWaveletTransform` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `num_terms` is never used
[INFO] [stdout]    --> src/tropical/polynomial.rs:223:12
[INFO] [stdout]     |
[INFO] [stdout] 195 | impl MultivariateTropicalPolynomial {
[INFO] [stdout]     | ----------------------------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 223 |     pub fn num_terms(&self) -> usize {
[INFO] [stdout]     |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated constant `ONE` is never used
[INFO] [stdout]    --> src/tropical/semiring.rs:152:15
[INFO] [stdout]     |
[INFO] [stdout] 145 | impl TropicalMin {
[INFO] [stdout]     | ---------------- associated constant in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 152 |     pub const ONE: TropicalMin = TropicalMin { value: 0.0 };
[INFO] [stdout]     |               ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/homology/mod.rs:67:5
[INFO] [stdout]    |
[INFO] [stdout] 67 |     pub coords: Vec<f64>,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout] note: the lint level is defined here
[INFO] [stdout]   --> src/lib.rs:87:9
[INFO] [stdout]    |
[INFO] [stdout] 87 | #![warn(missing_docs)]
[INFO] [stdout]    |         ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/optimization/sos.rs:36:14
[INFO] [stdout]    |
[INFO] [stdout] 36 |     NotSOS { witness: Vec<f64> },
[INFO] [stdout]    |              ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:12:15
[INFO] [stdout]    |
[INFO] [stdout] 12 |     LowPass { cutoff: f64 },
[INFO] [stdout]    |               ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:14:16
[INFO] [stdout]    |
[INFO] [stdout] 14 |     HighPass { cutoff: f64 },
[INFO] [stdout]    |                ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:16:16
[INFO] [stdout]    |
[INFO] [stdout] 16 |     BandPass { low: f64, high: f64 },
[INFO] [stdout]    |                ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:16:26
[INFO] [stdout]    |
[INFO] [stdout] 16 |     BandPass { low: f64, high: f64 },
[INFO] [stdout]    |                          ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: missing documentation for a struct field
[INFO] [stdout]   --> src/spectral/graph_filter.rs:18:12
[INFO] [stdout]    |
[INFO] [stdout] 18 |     Heat { time: f64 },
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 32.72s
[INFO] running `Command { std: "docker" "inspect" "4e54180ca6306b9ba0cf3a501ec3d4a783db8b009c779208f9c23250876c31b4", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "4e54180ca6306b9ba0cf3a501ec3d4a783db8b009c779208f9c23250876c31b4", kill_on_drop: false }`
[INFO] [stdout] 4e54180ca6306b9ba0cf3a501ec3d4a783db8b009c779208f9c23250876c31b4
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+1.95.0" "test" "--frozen", kill_on_drop: false }`
[INFO] [stdout] c0c7ea57c5087d43106f6ef0dce9c0e47a7cb44ffe6d55125f25b61157010d3f
[INFO] running `Command { std: "docker" "start" "-a" "c0c7ea57c5087d43106f6ef0dce9c0e47a7cb44ffe6d55125f25b61157010d3f", kill_on_drop: false }`
[INFO] [stderr] warning: unused import: `super::operations::*`
[INFO] [stderr]   --> src/product_manifold/mod.rs:31:13
[INFO] [stderr]    |
[INFO] [stderr] 31 |     pub use super::operations::*;
[INFO] [stderr]    |             ^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `BirthDeathPair`
[INFO] [stderr]  --> src/homology/distance.rs:5:13
[INFO] [stderr]   |
[INFO] [stderr] 5 | use super::{BirthDeathPair, PersistenceDiagram};
[INFO] [stderr]   |             ^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `HashMap`
[INFO] [stderr]  --> src/homology/simplex.rs:5:24
[INFO] [stderr]   |
[INFO] [stderr] 5 | use std::collections::{HashMap, HashSet};
[INFO] [stderr]   |                        ^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `Monomial`
[INFO] [stderr]  --> src/optimization/certificates.rs:5:25
[INFO] [stderr]   |
[INFO] [stderr] 5 | use super::polynomial::{Monomial, Polynomial, Term};
[INFO] [stderr]   |                         ^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/graph_filter.rs:49:30
[INFO] [stderr]    |
[INFO] [stderr] 49 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 49 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stderr] 49 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/graph_filter.rs:67:30
[INFO] [stderr]    |
[INFO] [stderr] 67 |                 let lambda = (x + 1.0);
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 67 -                 let lambda = (x + 1.0);
[INFO] [stderr] 67 +                 let lambda = x + 1.0;
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/graph_filter.rs:85:30
[INFO] [stderr]    |
[INFO] [stderr] 85 |                 let lambda = (x + 1.0);
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 85 -                 let lambda = (x + 1.0);
[INFO] [stderr] 85 +                 let lambda = x + 1.0;
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/wavelets.rs:23:30
[INFO] [stderr]    |
[INFO] [stderr] 23 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 23 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stderr] 23 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/wavelets.rs:43:30
[INFO] [stderr]    |
[INFO] [stderr] 43 |                 let lambda = (x + 1.0);
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 43 -                 let lambda = (x + 1.0);
[INFO] [stderr] 43 +                 let lambda = x + 1.0;
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `std::collections::HashMap`
[INFO] [stderr]  --> src/tensor_networks/contraction.rs:5:5
[INFO] [stderr]   |
[INFO] [stderr] 5 | use std::collections::HashMap;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused imports: `TropicalMin` and `Tropical`
[INFO] [stderr]  --> src/tropical/matrix.rs:9:23
[INFO] [stderr]   |
[INFO] [stderr] 9 | use super::semiring::{Tropical, TropicalMin};
[INFO] [stderr]   |                       ^^^^^^^^  ^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `std::collections::hash_map::DefaultHasher`
[INFO] [stderr]   --> src/tropical/neural_analysis.rs:48:13
[INFO] [stderr]    |
[INFO] [stderr] 48 |         use std::collections::hash_map::DefaultHasher;
[INFO] [stderr]    |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused imports: `Hash` and `Hasher`
[INFO] [stderr]   --> src/tropical/neural_analysis.rs:49:25
[INFO] [stderr]    |
[INFO] [stderr] 49 |         use std::hash::{Hash, Hasher};
[INFO] [stderr]    |                         ^^^^  ^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `super::semiring::Tropical`
[INFO] [stderr]  --> src/tropical/polynomial.rs:8:5
[INFO] [stderr]   |
[INFO] [stderr] 8 | use super::semiring::Tropical;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variable `matched1` is assigned to, but never used
[INFO] [stderr]   --> src/homology/distance.rs:82:13
[INFO] [stderr]    |
[INFO] [stderr] 82 |         let mut matched1 = 0;
[INFO] [stderr]    |             ^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: consider using `_matched1` instead
[INFO] [stderr]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: value assigned to `matched1` is never read
[INFO] [stderr]   --> src/homology/distance.rs:98:21
[INFO] [stderr]    |
[INFO] [stderr] 98 |                     matched1 += 1;
[INFO] [stderr]    |                     ^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = help: maybe it is overwritten before being read?
[INFO] [stderr]    = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: value assigned to `matched1` is never read
[INFO] [stderr]    --> src/homology/distance.rs:103:13
[INFO] [stderr]     |
[INFO] [stderr] 103 |             matched1 += 1;
[INFO] [stderr]     |             ^^^^^^^^^^^^^
[INFO] [stderr]     |
[INFO] [stderr]     = help: maybe it is overwritten before being read?
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `i`
[INFO] [stderr]    --> src/optimization/sdp.rs:225:43
[INFO] [stderr]     |
[INFO] [stderr] 225 |         let mut v: Vec<f64> = (0..n).map(|i| 1.0 / (n as f64).sqrt()).collect();
[INFO] [stderr]     |                                           ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `i`
[INFO] [stderr]    --> src/optimization/sdp.rs:203:43
[INFO] [stderr]     |
[INFO] [stderr] 203 |         let mut v: Vec<f64> = (0..n).map(|i| 1.0 / (n as f64).sqrt()).collect();
[INFO] [stderr]     |                                           ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `n`
[INFO] [stderr]    --> src/spectral/clustering.rs:114:13
[INFO] [stderr]     |
[INFO] [stderr] 114 |         let n = laplacian.n;
[INFO] [stderr]     |             ^ help: if this is intentional, prefix it with an underscore: `_n`
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]    --> src/spectral/clustering.rs:231:17
[INFO] [stderr]     |
[INFO] [stderr] 231 |             let mut distances: Vec<f64> = (0..n)
[INFO] [stderr]     |                 ----^^^^^^^^^
[INFO] [stderr]     |                 |
[INFO] [stderr]     |                 help: remove this `mut`
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]    --> src/tensor_networks/contraction.rs:246:9
[INFO] [stderr]     |
[INFO] [stderr] 246 |     let mut out_indices = vec![0usize; out_dims.len()];
[INFO] [stderr]     |         ----^^^^^^^^^^^
[INFO] [stderr]     |         |
[INFO] [stderr]     |         help: remove this `mut`
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]    --> src/tensor_networks/contraction.rs:275:17
[INFO] [stderr]     |
[INFO] [stderr] 275 |             let mut out_idx_copy = out_flat;
[INFO] [stderr]     |                 ----^^^^^^^^^^^^
[INFO] [stderr]     |                 |
[INFO] [stderr]     |                 help: remove this `mut`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `size1`
[INFO] [stderr]    --> src/tensor_networks/contraction.rs:238:9
[INFO] [stderr]     |
[INFO] [stderr] 238 |     let size1 = node1.size();
[INFO] [stderr]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_size1`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `size2`
[INFO] [stderr]    --> src/tensor_networks/contraction.rs:239:9
[INFO] [stderr]     |
[INFO] [stderr] 239 |     let size2 = node2.size();
[INFO] [stderr]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_size2`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `out_indices`
[INFO] [stderr]    --> src/tensor_networks/contraction.rs:246:9
[INFO] [stderr]     |
[INFO] [stderr] 246 |     let mut out_indices = vec![0usize; out_dims.len()];
[INFO] [stderr]     |         ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_out_indices`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `i2`
[INFO] [stderr]    --> src/tensor_networks/contraction.rs:384:14
[INFO] [stderr]     |
[INFO] [stderr] 384 |         for (i2, label2) in n2.leg_labels.iter().enumerate() {
[INFO] [stderr]     |              ^^ help: if this is intentional, prefix it with an underscore: `_i2`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `end`
[INFO] [stderr]   --> src/tensor_networks/tensor_train.rs:74:13
[INFO] [stderr]    |
[INFO] [stderr] 74 |         let end = start + self.rank_left * self.rank_right;
[INFO] [stderr]    |             ^^^ help: if this is intentional, prefix it with an underscore: `_end`
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]    --> src/tensor_networks/tensor_train.rs:276:17
[INFO] [stderr]     |
[INFO] [stderr] 276 |             let mut new_data = vec![0.0; new_rl * n * new_rr];
[INFO] [stderr]     |                 ----^^^^^^^^
[INFO] [stderr]     |                 |
[INFO] [stderr]     |                 help: remove this `mut`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `k`
[INFO] [stderr]    --> src/tensor_networks/tensor_train.rs:346:13
[INFO] [stderr]     |
[INFO] [stderr] 346 |         for k in 0..d - 1 {
[INFO] [stderr]     |             ^ help: if this is intentional, prefix it with an underscore: `_k`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `f`
[INFO] [stderr]    --> src/tensor_networks/tucker.rs:106:23
[INFO] [stderr]     |
[INFO] [stderr] 106 |             .map(|(k, f)| self.shape[k] * self.core_shape[k])
[INFO] [stderr]     |                       ^ help: if this is intentional, prefix it with an underscore: `_f`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `n_k`
[INFO] [stderr]    --> src/tensor_networks/tucker.rs:253:5
[INFO] [stderr]     |
[INFO] [stderr] 253 |     n_k: usize,
[INFO] [stderr]     |     ^^^ help: if this is intentional, prefix it with an underscore: `_n_k`
[INFO] [stderr] 
[INFO] [stderr] warning: methods `with_damping` and `with_ema` are never used
[INFO] [stderr]   --> src/information_geometry/kfac.rs:59:12
[INFO] [stderr]    |
[INFO] [stderr] 42 | impl KFACLayer {
[INFO] [stderr]    | -------------- methods in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 59 |     pub fn with_damping(mut self, damping: f64) -> Self {
[INFO] [stderr]    |            ^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 65 |     pub fn with_ema(mut self, ema: f64) -> Self {
[INFO] [stderr]    |            ^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: struct `DiagonalNaturalGradient` is never constructed
[INFO] [stderr]    --> src/information_geometry/natural_gradient.rs:197:12
[INFO] [stderr]     |
[INFO] [stderr] 197 | pub struct DiagonalNaturalGradient {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated items `new`, `with_damping`, `step`, and `reset` are never used
[INFO] [stderr]    --> src/information_geometry/natural_gradient.rs:208:12
[INFO] [stderr]     |
[INFO] [stderr] 206 | impl DiagonalNaturalGradient {
[INFO] [stderr]     | ---------------------------- associated items in this implementation
[INFO] [stderr] 207 |     /// Create new diagonal natural gradient optimizer
[INFO] [stderr] 208 |     pub fn new(learning_rate: f64, dim: usize) -> Self {
[INFO] [stderr]     |            ^^^
[INFO] [stderr] ...
[INFO] [stderr] 217 |     pub fn with_damping(mut self, damping: f64) -> Self {
[INFO] [stderr]     |            ^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 223 |     pub fn step(&mut self, parameters: &mut [f64], gradient: &[f64]) -> Result<f64> {
[INFO] [stderr]     |            ^^^^
[INFO] [stderr] ...
[INFO] [stderr] 247 |     pub fn reset(&mut self) {
[INFO] [stderr]     |            ^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: field `spherical` is never read
[INFO] [stderr]   --> src/product_manifold/manifold.rs:12:5
[INFO] [stderr]    |
[INFO] [stderr] 10 | pub struct ProductManifold {
[INFO] [stderr]    |            --------------- field in this struct
[INFO] [stderr] 11 |     config: ProductManifoldConfig,
[INFO] [stderr] 12 |     spherical: Option<SphericalSpace>,
[INFO] [stderr]    |     ^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `ProductManifold` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stderr] 
[INFO] [stderr] warning: struct `PersistenceLandscape` is never constructed
[INFO] [stderr]    --> src/homology/distance.rs:213:12
[INFO] [stderr]     |
[INFO] [stderr] 213 | pub struct PersistenceLandscape {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated items `from_diagram`, `l2_distance`, and `to_vector` are never used
[INFO] [stderr]    --> src/homology/distance.rs:224:12
[INFO] [stderr]     |
[INFO] [stderr] 222 | impl PersistenceLandscape {
[INFO] [stderr]     | ------------------------- associated items in this implementation
[INFO] [stderr] 223 |     /// Compute landscape from persistence diagram
[INFO] [stderr] 224 |     pub fn from_diagram(
[INFO] [stderr]     |            ^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 291 |     pub fn l2_distance(&self, other: &Self) -> f64 {
[INFO] [stderr]     |            ^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 315 |     pub fn to_vector(&self) -> Vec<f64> {
[INFO] [stderr]     |            ^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: struct `MonotonicityCertificate` is never constructed
[INFO] [stderr]    --> src/optimization/certificates.rs:200:12
[INFO] [stderr]     |
[INFO] [stderr] 200 | pub struct MonotonicityCertificate {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated functions `certify` and `partial_derivative` are never used
[INFO] [stderr]    --> src/optimization/certificates.rs:213:12
[INFO] [stderr]     |
[INFO] [stderr] 211 | impl MonotonicityCertificate {
[INFO] [stderr]     | ---------------------------- associated functions in this implementation
[INFO] [stderr] 212 |     /// Check monotonicity of p with respect to variable i
[INFO] [stderr] 213 |     pub fn certify(p: &Polynomial, variable: usize) -> Self {
[INFO] [stderr]     |            ^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 239 |     fn partial_derivative(p: &Polynomial, var: usize) -> Polynomial {
[INFO] [stderr]     |        ^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: struct `MultiscaleFilter` is never constructed
[INFO] [stderr]    --> src/spectral/graph_filter.rs:225:12
[INFO] [stderr]     |
[INFO] [stderr] 225 | pub struct MultiscaleFilter {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated items `heat_scales`, `apply_all`, and `scales` are never used
[INFO] [stderr]    --> src/spectral/graph_filter.rs:234:12
[INFO] [stderr]     |
[INFO] [stderr] 232 | impl MultiscaleFilter {
[INFO] [stderr]     | --------------------- associated items in this implementation
[INFO] [stderr] 233 |     /// Create multiscale heat diffusion filters
[INFO] [stderr] 234 |     pub fn heat_scales(laplacian: ScaledLaplacian, scales: Vec<f64>, degree: usize) -> Self {
[INFO] [stderr]     |            ^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 244 |     pub fn apply_all(&self, signal: &[f64]) -> Vec<Vec<f64>> {
[INFO] [stderr]     |            ^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 249 |     pub fn scales(&self) -> &[f64] {
[INFO] [stderr]     |            ^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: field `degree` is never read
[INFO] [stderr]    --> src/spectral/wavelets.rs:110:5
[INFO] [stderr]     |
[INFO] [stderr] 102 | pub struct SpectralWaveletTransform {
[INFO] [stderr]     |            ------------------------ field in this struct
[INFO] [stderr] ...
[INFO] [stderr] 110 |     degree: usize,
[INFO] [stderr]     |     ^^^^^^
[INFO] [stderr]     |
[INFO] [stderr]     = note: `SpectralWaveletTransform` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stderr] 
[INFO] [stderr] warning: struct `MultivariateTropicalPolynomial` is never constructed
[INFO] [stderr]    --> src/tropical/polynomial.rs:188:12
[INFO] [stderr]     |
[INFO] [stderr] 188 | pub struct MultivariateTropicalPolynomial {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated items `new`, `eval`, and `num_terms` are never used
[INFO] [stderr]    --> src/tropical/polynomial.rs:197:12
[INFO] [stderr]     |
[INFO] [stderr] 195 | impl MultivariateTropicalPolynomial {
[INFO] [stderr]     | ----------------------------------- associated items in this implementation
[INFO] [stderr] 196 |     /// Create from terms
[INFO] [stderr] 197 |     pub fn new(nvars: usize, terms: Vec<(f64, Vec<i32>)>) -> Self {
[INFO] [stderr]     |            ^^^
[INFO] [stderr] ...
[INFO] [stderr] 202 |     pub fn eval(&self, x: &[f64]) -> f64 {
[INFO] [stderr]     |            ^^^^
[INFO] [stderr] ...
[INFO] [stderr] 223 |     pub fn num_terms(&self) -> usize {
[INFO] [stderr]     |            ^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: struct `TropicalMin` is never constructed
[INFO] [stderr]    --> src/tropical/semiring.rs:141:12
[INFO] [stderr]     |
[INFO] [stderr] 141 | pub struct TropicalMin {
[INFO] [stderr]     |            ^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated items `ZERO`, `ONE`, `new`, `value`, `add`, and `mul` are never used
[INFO] [stderr]    --> src/tropical/semiring.rs:147:15
[INFO] [stderr]     |
[INFO] [stderr] 145 | impl TropicalMin {
[INFO] [stderr]     | ---------------- associated items in this implementation
[INFO] [stderr] 146 |     /// Tropical zero (+∞ in min-plus)
[INFO] [stderr] 147 |     pub const ZERO: TropicalMin = TropicalMin {
[INFO] [stderr]     |               ^^^^
[INFO] [stderr] ...
[INFO] [stderr] 152 |     pub const ONE: TropicalMin = TropicalMin { value: 0.0 };
[INFO] [stderr]     |               ^^^
[INFO] [stderr] ...
[INFO] [stderr] 156 |     pub fn new(value: f64) -> Self {
[INFO] [stderr]     |            ^^^
[INFO] [stderr] ...
[INFO] [stderr] 162 |     pub fn value(&self) -> f64 {
[INFO] [stderr]     |            ^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 168 |     pub fn add(&self, other: &Self) -> Self {
[INFO] [stderr]     |            ^^^
[INFO] [stderr] ...
[INFO] [stderr] 176 |     pub fn mul(&self, other: &Self) -> Self {
[INFO] [stderr]     |            ^^^
[INFO] [stderr] 
[INFO] [stderr] warning: missing documentation for a struct field
[INFO] [stderr]   --> src/homology/mod.rs:67:5
[INFO] [stderr]    |
[INFO] [stderr] 67 |     pub coords: Vec<f64>,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr] note: the lint level is defined here
[INFO] [stderr]   --> src/lib.rs:87:9
[INFO] [stderr]    |
[INFO] [stderr] 87 | #![warn(missing_docs)]
[INFO] [stderr]    |         ^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: missing documentation for a struct field
[INFO] [stderr]   --> src/optimization/sos.rs:36:14
[INFO] [stderr]    |
[INFO] [stderr] 36 |     NotSOS { witness: Vec<f64> },
[INFO] [stderr]    |              ^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: missing documentation for a struct field
[INFO] [stderr]   --> src/spectral/graph_filter.rs:12:15
[INFO] [stderr]    |
[INFO] [stderr] 12 |     LowPass { cutoff: f64 },
[INFO] [stderr]    |               ^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: missing documentation for a struct field
[INFO] [stderr]   --> src/spectral/graph_filter.rs:14:16
[INFO] [stderr]    |
[INFO] [stderr] 14 |     HighPass { cutoff: f64 },
[INFO] [stderr]    |                ^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: missing documentation for a struct field
[INFO] [stderr]   --> src/spectral/graph_filter.rs:16:16
[INFO] [stderr]    |
[INFO] [stderr] 16 |     BandPass { low: f64, high: f64 },
[INFO] [stderr]    |                ^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: missing documentation for a struct field
[INFO] [stderr]   --> src/spectral/graph_filter.rs:16:26
[INFO] [stderr]    |
[INFO] [stderr] 16 |     BandPass { low: f64, high: f64 },
[INFO] [stderr]    |                          ^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: missing documentation for a struct field
[INFO] [stderr]   --> src/spectral/graph_filter.rs:18:12
[INFO] [stderr]    |
[INFO] [stderr] 18 |     Heat { time: f64 },
[INFO] [stderr]    |            ^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `super::*`
[INFO] [stderr]    --> src/lib.rs:159:9
[INFO] [stderr]     |
[INFO] [stderr] 159 |     use super::*;
[INFO] [stderr]     |         ^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `id1`
[INFO] [stderr]    --> src/tensor_networks/contraction.rs:403:13
[INFO] [stderr]     |
[INFO] [stderr] 403 |         let id1 = network.add_node(
[INFO] [stderr]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_id1`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `id2`
[INFO] [stderr]    --> src/tensor_networks/contraction.rs:409:13
[INFO] [stderr]     |
[INFO] [stderr] 409 |         let id2 = network.add_node(
[INFO] [stderr]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_id2`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `a`
[INFO] [stderr]    --> src/tensor_networks/cp_decomposition.rs:399:14
[INFO] [stderr]     |
[INFO] [stderr] 399 |         for (a, b) in tensor.data.iter().zip(reconstructed.data.iter()) {
[INFO] [stderr]     |              ^ help: if this is intentional, prefix it with an underscore: `_a`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `b`
[INFO] [stderr]    --> src/tensor_networks/cp_decomposition.rs:399:17
[INFO] [stderr]     |
[INFO] [stderr] 399 |         for (a, b) in tensor.data.iter().zip(reconstructed.data.iter()) {
[INFO] [stderr]     |                 ^ help: if this is intentional, prefix it with an underscore: `_b`
[INFO] [stderr] 
[INFO] [stderr] warning: method `with_ema` is never used
[INFO] [stderr]   --> src/information_geometry/kfac.rs:65:12
[INFO] [stderr]    |
[INFO] [stderr] 42 | impl KFACLayer {
[INFO] [stderr]    | -------------- method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 65 |     pub fn with_ema(mut self, ema: f64) -> Self {
[INFO] [stderr]    |            ^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: methods `with_damping` and `reset` are never used
[INFO] [stderr]    --> src/information_geometry/natural_gradient.rs:217:12
[INFO] [stderr]     |
[INFO] [stderr] 206 | impl DiagonalNaturalGradient {
[INFO] [stderr]     | ---------------------------- methods in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 217 |     pub fn with_damping(mut self, damping: f64) -> Self {
[INFO] [stderr]     |            ^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 247 |     pub fn reset(&mut self) {
[INFO] [stderr]     |            ^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: fields `variable` and `derivative_certificate` are never read
[INFO] [stderr]    --> src/optimization/certificates.rs:202:9
[INFO] [stderr]     |
[INFO] [stderr] 200 | pub struct MonotonicityCertificate {
[INFO] [stderr]     |            ----------------------- fields in this struct
[INFO] [stderr] 201 |     /// Variable index
[INFO] [stderr] 202 |     pub variable: usize,
[INFO] [stderr]     |         ^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 208 |     pub derivative_certificate: Option<NonnegativityCertificate>,
[INFO] [stderr]     |         ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]     |
[INFO] [stderr]     = note: `MonotonicityCertificate` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stderr] 
[INFO] [stderr] warning: field `scales` is never read
[INFO] [stderr]    --> src/spectral/graph_filter.rs:229:5
[INFO] [stderr]     |
[INFO] [stderr] 225 | pub struct MultiscaleFilter {
[INFO] [stderr]     |            ---------------- field in this struct
[INFO] [stderr] ...
[INFO] [stderr] 229 |     scales: Vec<f64>,
[INFO] [stderr]     |     ^^^^^^
[INFO] [stderr]     |
[INFO] [stderr]     = note: `MultiscaleFilter` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stderr] 
[INFO] [stderr] warning: method `scales` is never used
[INFO] [stderr]    --> src/spectral/graph_filter.rs:249:12
[INFO] [stderr]     |
[INFO] [stderr] 232 | impl MultiscaleFilter {
[INFO] [stderr]     | --------------------- method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 249 |     pub fn scales(&self) -> &[f64] {
[INFO] [stderr]     |            ^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method `num_terms` is never used
[INFO] [stderr]    --> src/tropical/polynomial.rs:223:12
[INFO] [stderr]     |
[INFO] [stderr] 195 | impl MultivariateTropicalPolynomial {
[INFO] [stderr]     | ----------------------------------- method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 223 |     pub fn num_terms(&self) -> usize {
[INFO] [stderr]     |            ^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated constant `ONE` is never used
[INFO] [stderr]    --> src/tropical/semiring.rs:152:15
[INFO] [stderr]     |
[INFO] [stderr] 145 | impl TropicalMin {
[INFO] [stderr]     | ---------------- associated constant in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 152 |     pub const ONE: TropicalMin = TropicalMin { value: 0.0 };
[INFO] [stderr]     |               ^^^
[INFO] [stderr] 
[INFO] [stderr] warning: `ruvector-math` (lib) generated 54 warnings (run `cargo fix --lib -p ruvector-math` to apply 29 suggestions)
[INFO] [stderr] warning: `ruvector-math` (lib test) generated 52 warnings (40 duplicates) (run `cargo fix --lib -p ruvector-math --tests` to apply 5 suggestions)
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 0.24s
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/ruvector_math-6b77e48c2593b910)
[INFO] [stdout] 
[INFO] [stdout] running 148 tests
[INFO] [stdout] test error::tests::test_convergence_error ... ok
[INFO] [stdout] test error::tests::test_error_display ... ok
[INFO] [stdout] test homology::distance::tests::test_landscape_distance ... ok
[INFO] [stdout] test homology::distance::tests::test_bottleneck_same ... ok
[INFO] [stdout] test homology::distance::tests::test_bottleneck_different ... ok
[INFO] [stdout] test homology::distance::tests::test_persistence_landscape ... ok
[INFO] [stdout] test homology::filtration::tests::test_alpha_complex ... ok
[INFO] [stdout] test homology::filtration::tests::test_filtration_creation ... ok
[INFO] [stdout] test homology::filtration::tests::test_complex_at ... ok
[INFO] [stdout] test homology::filtration::tests::test_filtration_sort ... ok
[INFO] [stdout] test homology::filtration::tests::test_vietoris_rips ... ok
[INFO] [stdout] test homology::persistence::tests::test_birth_death_pair ... ok
[INFO] [stdout] test homology::persistence::tests::test_persistence_diagram ... ok
[INFO] [stdout] test homology::persistence::tests::test_filter_by_persistence ... ok
[INFO] [stdout] test homology::persistence::tests::test_persistent_homology_simple ... ok
[INFO] [stdout] test homology::persistence::tests::test_persistent_homology_triangle ... ok
[INFO] [stdout] test homology::simplex::tests::test_f_vector ... ok
[INFO] [stdout] test homology::simplex::tests::test_is_face_of ... ok
[INFO] [stdout] test homology::distance::tests::test_wasserstein ... ok
[INFO] [stdout] test homology::simplex::tests::test_simplex_creation ... ok
[INFO] [stdout] test homology::tests::test_betti_numbers ... ok
[INFO] [stdout] test information_geometry::fisher::tests::test_empirical_fim ... ok
[INFO] [stdout] test information_geometry::fisher::tests::test_gaussian_fim ... ok
[INFO] [stdout] test homology::simplex::tests::test_simplicial_complex ... ok
[INFO] [stdout] test homology::tests::test_point_distance ... ok
[INFO] [stdout] test information_geometry::fisher::tests::test_natural_gradient ... ok
[INFO] [stdout] test information_geometry::kfac::tests::test_kfac_layer_update ... ok
[INFO] [stdout] test homology::distance::tests::test_landscape_vector ... ok
[INFO] [stdout] test information_geometry::kfac::tests::test_kfac_natural_gradient ... ok
[INFO] [stdout] test homology::simplex::tests::test_simplex_faces ... ok
[INFO] [stdout] test homology::tests::test_distance_matrix ... ok
[INFO] [stdout] test information_geometry::natural_gradient::tests::test_diagonal_natural_gradient ... ok
[INFO] [stdout] test optimal_transport::gromov_wasserstein::tests::test_distance_matrix ... ok
[INFO] [stdout] test optimal_transport::gromov_wasserstein::tests::test_gw_different_structures ... ok
[INFO] [stdout] test information_geometry::kfac::tests::test_kfac_layer_creation ... ok
[INFO] [stdout] test optimal_transport::gromov_wasserstein::tests::test_gw_identical ... ok
[INFO] [stdout] test optimal_transport::sinkhorn::tests::test_sinkhorn_convergence ... ok
[INFO] [stdout] test optimal_transport::sinkhorn::tests::test_sinkhorn_identity ... ok
[INFO] [stdout] test information_geometry::natural_gradient::tests::test_natural_gradient_with_fim ... ok
[INFO] [stdout] test optimal_transport::gromov_wasserstein::tests::test_gw_scaled ... ok
[INFO] [stdout] test information_geometry::natural_gradient::tests::test_optimizer_reset ... ok
[INFO] [stdout] test homology::tests::test_point_cloud ... ok
[INFO] [stdout] test information_geometry::kfac::tests::test_kfac_full_network ... ok
[INFO] [stdout] test information_geometry::fisher::tests::test_fim_inversion ... ok
[INFO] [stdout] test information_geometry::natural_gradient::tests::test_natural_gradient_step ... ok
[INFO] [stdout] test optimal_transport::sliced_wasserstein::tests::test_1d_projections ... ok
[INFO] [stdout] test optimization::certificates::tests::test_monotonicity_negative ... ok
[INFO] [stdout] test optimal_transport::sliced_wasserstein::tests::test_weighted_distance ... ok
[INFO] [stdout] test optimization::certificates::tests::test_monotonicity_linear ... ok
[INFO] [stdout] test homology::persistence::tests::test_feature_counts ... ok
[INFO] [stdout] test optimal_transport::sliced_wasserstein::tests::test_sliced_wasserstein_scaling ... ok
[INFO] [stdout] test optimal_transport::sliced_wasserstein::tests::test_sliced_wasserstein_translation ... ok
[INFO] [stdout] test optimization::certificates::tests::test_bounds_constant ... ok
[INFO] [stdout] test optimal_transport::sinkhorn::tests::test_sinkhorn_translation ... ok
[INFO] [stdout] test optimal_transport::sinkhorn::tests::test_transport_plan_marginals ... ok
[INFO] [stdout] test optimization::certificates::tests::test_nonnegativity_square ... ok
[INFO] [stdout] test optimization::sos::tests::test_x_squared_plus_one ... ok
[INFO] [stdout] test product_manifold::config::tests::test_component_ranges ... ok
[INFO] [stdout] test optimization::polynomial::tests::test_monomials_generation ... ok
[INFO] [stdout] test optimization::polynomial::tests::test_polynomial_eval ... ok
[INFO] [stdout] test optimization::polynomial::tests::test_polynomial_mul ... ok
[INFO] [stdout] test optimization::sos::tests::test_constant_sos ... ok
[INFO] [stdout] test optimization::sos::tests::test_negative_constant_not_sos ... ok
[INFO] [stdout] test product_manifold::config::tests::test_config_creation ... ok
[INFO] [stdout] test optimal_transport::sliced_wasserstein::tests::test_sliced_wasserstein_identical ... ok
[INFO] [stdout] test optimization::tests::test_polynomial_creation ... ok
[INFO] [stdout] test product_manifold::config::tests::test_validation ... ok
[INFO] [stdout] test product_manifold::manifold::tests::test_product_manifold_creation ... ok
[INFO] [stdout] test product_manifold::manifold::tests::test_projection ... ok
[INFO] [stdout] test product_manifold::operations::tests::test_variance ... ok
[INFO] [stdout] test spectral::chebyshev::tests::test_eval_all ... ok
[INFO] [stdout] test spectral::chebyshev::tests::test_chebyshev_nodes ... ok
[INFO] [stdout] test spectral::chebyshev::tests::test_chebyshev_polynomial ... ok
[INFO] [stdout] test product_manifold::manifold::tests::test_euclidean_only_distance ... ok
[INFO] [stdout] test spectral::chebyshev::tests::test_clenshaw_stability ... ok
[INFO] [stdout] test product_manifold::manifold::tests::test_exp_log_inverse ... ok
[INFO] [stdout] test product_manifold::manifold::tests::test_product_distance ... ok
[INFO] [stdout] test spectral::chebyshev::tests::test_expansion_constant ... ok
[INFO] [stdout] test product_manifold::operations::tests::test_knn ... ok
[INFO] [stdout] test spectral::chebyshev::tests::test_expansion_linear ... ok
[INFO] [stdout] test product_manifold::operations::tests::test_geodesic_path ... ok
[INFO] [stdout] test optimization::polynomial::tests::test_monomial ... ok
[INFO] [stdout] test spectral::chebyshev::tests::test_heat_kernel ... ok
[INFO] [stdout] test spectral::graph_filter::tests::test_multiscale ... ok
[INFO] [stdout] test spectral::clustering::tests::test_cluster_extraction ... ok
[INFO] [stdout] test spectral::clustering::tests::test_single_node ... ok
[INFO] [stdout] test spectral::clustering::tests::test_spectral_clustering ... ok
[INFO] [stdout] test spectral::graph_filter::tests::test_constant_signal ... ok
[INFO] [stdout] test spectral::tests::test_scaled_laplacian ... ok
[INFO] [stdout] test spectral::graph_filter::tests::test_heat_filter ... ok
[INFO] [stdout] test spectral::tests::test_sparse_laplacian ... ok
[INFO] [stdout] test spectral::wavelets::tests::test_graph_wavelet ... ok
[INFO] [stdout] test spherical::tests::test_geodesic_distance ... ok
[INFO] [stdout] test spectral::wavelets::tests::test_scale_energies ... ok
[INFO] [stdout] test spectral::wavelets::tests::test_wavelet_scale ... ok
[INFO] [stdout] test spectral::wavelets::tests::test_wavelets_at_vertex ... ok
[INFO] [stdout] test spectral::graph_filter::tests::test_sparse_graph ... ok
[INFO] [stdout] test spectral::clustering::tests::test_bipartition ... ok
[INFO] [stdout] test spectral::clustering::tests::test_normalized_cut ... ok
[INFO] [stdout] test spectral::graph_filter::tests::test_low_pass_filter ... ok
[INFO] [stdout] test tensor_networks::contraction::tests::test_matrix_contraction ... ok
[INFO] [stdout] test spectral::wavelets::tests::test_wavelet_transform ... ok
[INFO] [stdout] test spherical::tests::test_geodesic_interpolation ... ok
[INFO] [stdout] test tensor_networks::tensor_train::tests::test_tt_add ... ok
[INFO] [stdout] test tensor_networks::tensor_train::tests::test_tt_dot ... ok
[INFO] [stdout] test tensor_networks::tensor_train::tests::test_tt_eval ... ok
[INFO] [stdout] test tensor_networks::contraction::tests::test_tensor_network_creation ... ok
[INFO] [stdout] test optimization::sdp::tests::test_sdp_feasibility ... ok
[INFO] [stdout] test spherical::tests::test_project_onto_sphere ... ok
[INFO] [stdout] test spherical::tests::test_frechet_mean ... ok
[INFO] [stdout] test tensor_networks::tensor_train::tests::test_tt_from_dense ... ok
[INFO] [stdout] test spherical::tests::test_exp_log_inverse ... ok
[INFO] [stdout] test tensor_networks::contraction::tests::test_vector_dot_product ... ok
[INFO] [stdout] test tropical::matrix::tests::test_floyd_warshall ... ok
[INFO] [stdout] test tropical::matrix::tests::test_max_cycle_mean ... ok
[INFO] [stdout] test tensor_networks::cp_decomposition::tests::test_cp_eval ... ok
[INFO] [stdout] test tropical::matrix::tests::test_tropical_identity ... ok
[INFO] [stdout] test tropical::matrix::tests::test_tropical_matrix_mul ... ok
[INFO] [stdout] test tropical::neural_analysis::tests::test_binomial ... ok
[INFO] [stdout] test tensor_networks::tests::test_dense_tensor ... ok
[INFO] [stdout] test product_manifold::operations::tests::test_pairwise_distances ... ok
[INFO] [stdout] test tensor_networks::tests::test_frobenius_norm ... ok
[INFO] [stdout] test tensor_networks::tucker::tests::test_mode_unfold ... ok
[INFO] [stdout] test tropical::neural_analysis::tests::test_linear_region_bound ... ok
[INFO] [stdout] test tensor_networks::tucker::tests::test_tucker_hosvd ... ok
[INFO] [stdout] test tests::test_crate_version ... ok
[INFO] [stdout] test optimization::certificates::tests::test_nonnegativity_sum_of_squares ... ok
[INFO] [stdout] test tropical::neural_analysis::tests::test_relu_forward ... ok
[INFO] [stdout] test tropical::neural_analysis::tests::test_hyperplane_max ... ok
[INFO] [stdout] test tropical::polynomial::tests::test_multivariate ... ok
[INFO] [stdout] test tropical::semiring::tests::test_tropical_min_plus ... ok
[INFO] [stdout] test tropical::polynomial::tests::test_tropical_polynomial_eval ... ok
[INFO] [stdout] test utils::numerical::tests::test_kl_divergence ... ok
[INFO] [stdout] test utils::numerical::tests::test_log_sum_exp ... ok
[INFO] [stdout] test utils::numerical::tests::test_softmax ... ok
[INFO] [stdout] test tropical::polynomial::tests::test_tropical_mul ... ok
[INFO] [stdout] test utils::sorting::tests::test_argsort ... ok
[INFO] [stdout] test utils::sorting::tests::test_cdf ... ok
[INFO] [stdout] test tropical::semiring::tests::test_tropical_associativity ... ok
[INFO] [stdout] test tropical::semiring::tests::test_tropical_zero_one ... ok
[INFO] [stdout] test utils::numerical::tests::test_normalize ... ok
[INFO] [stdout] test tropical::tests::test_tropical_ops ... ok
[INFO] [stdout] test tropical::neural_analysis::tests::test_estimate_regions ... ok
[INFO] [stdout] test tropical::polynomial::tests::test_tropical_roots ... ok
[INFO] [stdout] test utils::sorting::tests::test_quantile ... ok
[INFO] [stdout] test optimization::sos::tests::test_square_is_sos ... ok
[INFO] [stdout] test optimization::sdp::tests::test_sdp_simple ... ok
[INFO] [stdout] test tensor_networks::cp_decomposition::tests::test_cp_als ... ok
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 148 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.05s
[INFO] [stdout] 
[INFO] [stderr]    Doc-tests ruvector_math
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/graph_filter.rs:49:30
[INFO] [stderr]    |
[INFO] [stderr] 49 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 49 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stderr] 49 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/graph_filter.rs:67:30
[INFO] [stderr]    |
[INFO] [stderr] 67 |                 let lambda = (x + 1.0);
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 67 -                 let lambda = (x + 1.0);
[INFO] [stderr] 67 +                 let lambda = x + 1.0;
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/graph_filter.rs:85:30
[INFO] [stderr]    |
[INFO] [stderr] 85 |                 let lambda = (x + 1.0);
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 85 -                 let lambda = (x + 1.0);
[INFO] [stderr] 85 +                 let lambda = x + 1.0;
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/wavelets.rs:23:30
[INFO] [stderr]    |
[INFO] [stderr] 23 |                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 23 -                 let lambda = (x + 1.0); // Map [-1,1] to [0,2]
[INFO] [stderr] 23 +                 let lambda = x + 1.0; // Map [-1,1] to [0,2]
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]   --> src/spectral/wavelets.rs:43:30
[INFO] [stderr]    |
[INFO] [stderr] 43 |                 let lambda = (x + 1.0);
[INFO] [stderr]    |                              ^       ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 43 -                 let lambda = (x + 1.0);
[INFO] [stderr] 43 +                 let lambda = x + 1.0;
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: 5 warnings emitted
[INFO] [stdout] 
[INFO] [stderr] 
[INFO] [stdout] running 1 test
[INFO] [stdout] test src/lib.rs - (line 59) ... ok
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.27s
[INFO] [stdout] 
[INFO] running `Command { std: "docker" "inspect" "c0c7ea57c5087d43106f6ef0dce9c0e47a7cb44ffe6d55125f25b61157010d3f", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "c0c7ea57c5087d43106f6ef0dce9c0e47a7cb44ffe6d55125f25b61157010d3f", kill_on_drop: false }`
[INFO] [stdout] c0c7ea57c5087d43106f6ef0dce9c0e47a7cb44ffe6d55125f25b61157010d3f
