[INFO] fetching crate ruvector-math 2.0.6... [INFO] testing ruvector-math-2.0.6 against master#562dee4820c458d823175268e41601d4c060588a for pr-154210-2 [INFO] extracting crate ruvector-math 2.0.6 into /workspace/builds/worker-5-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-5-tc1/source/Cargo.toml [INFO] validating manifest of crates.io crate ruvector-math 2.0.6 on toolchain 562dee4820c458d823175268e41601d4c060588a [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+562dee4820c458d823175268e41601d4c060588a" "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" "+562dee4820c458d823175268e41601d4c060588a" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-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" "+562dee4820c458d823175268e41601d4c060588a" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] d29805429454080cdc883f322b7f01f13d388d5027b5166190ff10097c064a7b [INFO] running `Command { std: "docker" "start" "-a" "d29805429454080cdc883f322b7f01f13d388d5027b5166190ff10097c064a7b", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "d29805429454080cdc883f322b7f01f13d388d5027b5166190ff10097c064a7b", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "d29805429454080cdc883f322b7f01f13d388d5027b5166190ff10097c064a7b", kill_on_drop: false }` [INFO] [stdout] d29805429454080cdc883f322b7f01f13d388d5027b5166190ff10097c064a7b [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-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=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-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" "+562dee4820c458d823175268e41601d4c060588a" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 2a9ba12f55beab433b4427e168393b93ee962735cbbede8807ec0f10f6469a0a [INFO] running `Command { std: "docker" "start" "-a" "2a9ba12f55beab433b4427e168393b93ee962735cbbede8807ec0f10f6469a0a", kill_on_drop: false }` [INFO] [stderr] Compiling num-traits v0.2.19 [INFO] [stderr] Compiling libc v0.2.182 [INFO] [stderr] Compiling zerocopy v0.8.39 [INFO] [stderr] Compiling bytemuck v1.25.0 [INFO] [stderr] Compiling matrixmultiply v0.3.10 [INFO] [stderr] Compiling rawpointer v0.2.1 [INFO] [stderr] Compiling syn v2.0.117 [INFO] [stderr] Compiling safe_arch v0.7.4 [INFO] [stderr] Compiling wide v0.7.33 [INFO] [stderr] Compiling num-complex v0.4.6 [INFO] [stderr] Compiling approx v0.5.1 [INFO] [stderr] Compiling num-integer v0.1.46 [INFO] [stderr] Compiling num-rational v0.4.2 [INFO] [stderr] Compiling getrandom v0.2.17 [INFO] [stderr] Compiling rand_core v0.6.4 [INFO] [stderr] Compiling simba v0.9.1 [INFO] [stderr] Compiling thiserror-impl v2.0.18 [INFO] [stderr] Compiling thiserror v2.0.18 [INFO] [stderr] Compiling ppv-lite86 v0.2.21 [INFO] [stderr] Compiling rand_chacha v0.3.1 [INFO] [stderr] Compiling rand v0.8.5 [INFO] [stderr] Compiling rand_distr v0.4.3 [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 = (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 = (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 = (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 { [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, [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 { [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, degree: usize) -> Self { [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 244 | pub fn apply_all(&self, signal: &[f64]) -> Vec> { [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)>) -> 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, [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 }, [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 23.88s [INFO] running `Command { std: "docker" "inspect" "2a9ba12f55beab433b4427e168393b93ee962735cbbede8807ec0f10f6469a0a", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "2a9ba12f55beab433b4427e168393b93ee962735cbbede8807ec0f10f6469a0a", kill_on_drop: false }` [INFO] [stdout] 2a9ba12f55beab433b4427e168393b93ee962735cbbede8807ec0f10f6469a0a [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-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=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-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" "+562dee4820c458d823175268e41601d4c060588a" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 2c8b0141f4af0bfe0c3aadef3842d460bf9fadc58d4ade2f932b71153286db44 [INFO] running `Command { std: "docker" "start" "-a" "2c8b0141f4af0bfe0c3aadef3842d460bf9fadc58d4ade2f932b71153286db44", kill_on_drop: false }` [INFO] [stderr] Compiling libc v0.2.182 [INFO] [stderr] Compiling syn v2.0.117 [INFO] [stderr] Compiling clap_lex v1.0.0 [INFO] [stderr] Compiling approx v0.5.1 [INFO] [stderr] Compiling num-integer v0.1.46 [INFO] [stderr] Compiling regex-automata v0.4.14 [INFO] [stderr] Compiling serde_json v1.0.149 [INFO] [stderr] Compiling plotters v0.3.7 [INFO] [stderr] Compiling simba v0.9.1 [INFO] [stderr] Compiling clap_builder v4.5.60 [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 getrandom v0.4.1 [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 rand_core v0.9.5 [INFO] [stderr] Compiling rand_core v0.6.4 [INFO] [stderr] Compiling rand_xorshift v0.4.0 [INFO] [stderr] Compiling rand v0.9.2 [INFO] [stderr] Compiling regex v1.12.3 [INFO] [stderr] Compiling rusty-fork v0.3.1 [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 zerocopy v0.8.39 [INFO] [stderr] Compiling nalgebra v0.33.2 [INFO] [stderr] Compiling serde v1.0.228 [INFO] [stderr] Compiling tinytemplate v1.2.1 [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 rand_chacha v0.9.0 [INFO] [stderr] Compiling ciborium-ll v0.2.2 [INFO] [stderr] Compiling rand v0.8.5 [INFO] [stderr] Compiling proptest v1.10.0 [INFO] [stderr] Compiling ciborium v0.2.2 [INFO] [stderr] Compiling rand_distr v0.4.3 [INFO] [stderr] Compiling criterion v0.5.1 [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 = (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 = (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 = (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 { [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, [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 { [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, degree: usize) -> Self { [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 244 | pub fn apply_all(&self, signal: &[f64]) -> Vec> { [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)>) -> 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, [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 }, [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: 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 = (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 = (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 = (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, [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, [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, [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, [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 }, [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 36.96s [INFO] running `Command { std: "docker" "inspect" "2c8b0141f4af0bfe0c3aadef3842d460bf9fadc58d4ade2f932b71153286db44", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "2c8b0141f4af0bfe0c3aadef3842d460bf9fadc58d4ade2f932b71153286db44", kill_on_drop: false }` [INFO] [stdout] 2c8b0141f4af0bfe0c3aadef3842d460bf9fadc58d4ade2f932b71153286db44 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-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=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-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" "+562dee4820c458d823175268e41601d4c060588a" "test" "--frozen", kill_on_drop: false }` [INFO] [stdout] 70da3a00c174c2b7f455f12ee429e1c5f6e90f633cb3a87a5c176d2791560172 [INFO] running `Command { std: "docker" "start" "-a" "70da3a00c174c2b7f455f12ee429e1c5f6e90f633cb3a87a5c176d2791560172", 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 = (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 = (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 = (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 { [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, [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 { [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, degree: usize) -> Self { [INFO] [stderr] | ^^^^^^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 244 | pub fn apply_all(&self, signal: &[f64]) -> Vec> { [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)>) -> 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, [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 }, [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, [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, [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 0.25s [INFO] [stderr] Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/ruvector_math-c1e6ce3c9477a4c4) [INFO] [stdout] [INFO] [stdout] running 148 tests [INFO] [stdout] test error::tests::test_error_display ... ok [INFO] [stdout] test error::tests::test_convergence_error ... ok [INFO] [stdout] test homology::distance::tests::test_bottleneck_different ... ok [INFO] [stdout] test homology::distance::tests::test_bottleneck_same ... ok [INFO] [stdout] test homology::distance::tests::test_landscape_distance ... ok [INFO] [stdout] test homology::distance::tests::test_landscape_vector ... 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::distance::tests::test_wasserstein ... ok [INFO] [stdout] test homology::persistence::tests::test_birth_death_pair ... ok [INFO] [stdout] test homology::filtration::tests::test_filtration_sort ... ok [INFO] [stdout] test homology::filtration::tests::test_complex_at ... ok [INFO] [stdout] test homology::filtration::tests::test_vietoris_rips ... ok [INFO] [stdout] test homology::filtration::tests::test_filtration_creation ... ok [INFO] [stdout] test homology::persistence::tests::test_feature_counts ... 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::simplex::tests::test_is_face_of ... 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_simplex_faces ... ok [INFO] [stdout] test homology::simplex::tests::test_simplicial_complex ... ok [INFO] [stdout] test homology::tests::test_distance_matrix ... ok [INFO] [stdout] test homology::tests::test_point_distance ... ok [INFO] [stdout] test homology::simplex::tests::test_simplex_creation ... ok [INFO] [stdout] test information_geometry::fisher::tests::test_empirical_fim ... ok [INFO] [stdout] test information_geometry::fisher::tests::test_fim_inversion ... ok [INFO] [stdout] test information_geometry::fisher::tests::test_gaussian_fim ... ok [INFO] [stdout] test information_geometry::kfac::tests::test_kfac_layer_creation ... ok [INFO] [stdout] test information_geometry::kfac::tests::test_kfac_layer_update ... ok [INFO] [stdout] test information_geometry::natural_gradient::tests::test_diagonal_natural_gradient ... ok [INFO] [stdout] test information_geometry::natural_gradient::tests::test_natural_gradient_step ... ok [INFO] [stdout] test information_geometry::natural_gradient::tests::test_natural_gradient_with_fim ... ok [INFO] [stdout] test information_geometry::natural_gradient::tests::test_optimizer_reset ... 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 optimal_transport::gromov_wasserstein::tests::test_gw_scaled ... ok [INFO] [stdout] test optimal_transport::gromov_wasserstein::tests::test_gw_identical ... ok [INFO] [stdout] test homology::tests::test_betti_numbers ... ok [INFO] [stdout] test information_geometry::kfac::tests::test_kfac_full_network ... 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::fisher::tests::test_natural_gradient ... ok [INFO] [stdout] test information_geometry::kfac::tests::test_kfac_natural_gradient ... 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 optimization::polynomial::tests::test_polynomial_eval ... ok [INFO] [stdout] test optimal_transport::sliced_wasserstein::tests::test_sliced_wasserstein_identical ... 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 homology::tests::test_point_cloud ... ok [INFO] [stdout] test optimal_transport::sliced_wasserstein::tests::test_sliced_wasserstein_translation ... ok [INFO] [stdout] test optimization::polynomial::tests::test_monomial ... ok [INFO] [stdout] test optimization::polynomial::tests::test_monomials_generation ... ok [INFO] [stdout] test optimization::certificates::tests::test_bounds_constant ... ok [INFO] [stdout] test optimization::polynomial::tests::test_polynomial_mul ... ok [INFO] [stdout] test optimization::certificates::tests::test_nonnegativity_square ... ok [INFO] [stdout] test optimization::sos::tests::test_negative_constant_not_sos ... ok [INFO] [stdout] test optimization::sos::tests::test_x_squared_plus_one ... 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_euclidean_only_distance ... ok [INFO] [stdout] test optimization::sdp::tests::test_sdp_feasibility ... ok [INFO] [stdout] test product_manifold::config::tests::test_config_creation ... ok [INFO] [stdout] test optimal_transport::sliced_wasserstein::tests::test_weighted_distance ... ok [INFO] [stdout] test optimal_transport::sliced_wasserstein::tests::test_sliced_wasserstein_scaling ... ok [INFO] [stdout] test optimization::certificates::tests::test_monotonicity_linear ... ok [INFO] [stdout] test optimization::sos::tests::test_constant_sos ... 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 product_manifold::manifold::tests::test_projection ... ok [INFO] [stdout] test product_manifold::operations::tests::test_knn ... ok [INFO] [stdout] test product_manifold::operations::tests::test_geodesic_path ... ok [INFO] [stdout] test product_manifold::manifold::tests::test_product_manifold_creation ... ok [INFO] [stdout] test spectral::chebyshev::tests::test_chebyshev_nodes ... ok [INFO] [stdout] test product_manifold::operations::tests::test_pairwise_distances ... ok [INFO] [stdout] test spectral::chebyshev::tests::test_chebyshev_polynomial ... ok [INFO] [stdout] test spectral::chebyshev::tests::test_clenshaw_stability ... 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_expansion_constant ... ok [INFO] [stdout] test spectral::chebyshev::tests::test_expansion_linear ... ok [INFO] [stdout] test spectral::clustering::tests::test_bipartition ... ok [INFO] [stdout] test optimization::certificates::tests::test_nonnegativity_sum_of_squares ... ok [INFO] [stdout] test spectral::clustering::tests::test_cluster_extraction ... ok [INFO] [stdout] test spectral::clustering::tests::test_normalized_cut ... 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 product_manifold::config::tests::test_component_ranges ... ok [INFO] [stdout] test spectral::chebyshev::tests::test_heat_kernel ... ok [INFO] [stdout] test spectral::graph_filter::tests::test_heat_filter ... ok [INFO] [stdout] test spectral::graph_filter::tests::test_low_pass_filter ... ok [INFO] [stdout] test spectral::graph_filter::tests::test_multiscale ... ok [INFO] [stdout] test spectral::wavelets::tests::test_graph_wavelet ... ok [INFO] [stdout] test spectral::graph_filter::tests::test_sparse_graph ... ok [INFO] [stdout] test spectral::tests::test_sparse_laplacian ... ok [INFO] [stdout] test spectral::tests::test_scaled_laplacian ... ok [INFO] [stdout] test spectral::wavelets::tests::test_scale_energies ... ok [INFO] [stdout] test spectral::wavelets::tests::test_wavelet_transform ... 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 tensor_networks::tensor_train::tests::test_tt_dot ... ok [INFO] [stdout] test tensor_networks::tensor_train::tests::test_tt_eval ... 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_add ... ok [INFO] [stdout] test spherical::tests::test_geodesic_distance ... ok [INFO] [stdout] test tensor_networks::contraction::tests::test_matrix_contraction ... ok [INFO] [stdout] test tensor_networks::contraction::tests::test_tensor_network_creation ... ok [INFO] [stdout] test tensor_networks::contraction::tests::test_vector_dot_product ... ok [INFO] [stdout] test tensor_networks::tests::test_dense_tensor ... 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 tensor_networks::cp_decomposition::tests::test_cp_eval ... ok [INFO] [stdout] test tropical::matrix::tests::test_floyd_warshall ... ok [INFO] [stdout] test tests::test_crate_version ... ok [INFO] [stdout] test tropical::matrix::tests::test_max_cycle_mean ... ok [INFO] [stdout] test tropical::matrix::tests::test_tropical_identity ... ok [INFO] [stdout] test tropical::neural_analysis::tests::test_binomial ... ok [INFO] [stdout] test spherical::tests::test_geodesic_interpolation ... ok [INFO] [stdout] test spherical::tests::test_exp_log_inverse ... ok [INFO] [stdout] test tensor_networks::tensor_train::tests::test_tt_from_dense ... ok [INFO] [stdout] test tropical::polynomial::tests::test_tropical_mul ... ok [INFO] [stdout] test tropical::polynomial::tests::test_tropical_roots ... ok [INFO] [stdout] test tropical::polynomial::tests::test_tropical_polynomial_eval ... ok [INFO] [stdout] test tropical::neural_analysis::tests::test_relu_forward ... ok [INFO] [stdout] test tropical::semiring::tests::test_tropical_associativity ... ok [INFO] [stdout] test tropical::polynomial::tests::test_multivariate ... ok [INFO] [stdout] test tensor_networks::tucker::tests::test_tucker_hosvd ... ok [INFO] [stdout] test tropical::neural_analysis::tests::test_linear_region_bound ... ok [INFO] [stdout] test tropical::neural_analysis::tests::test_estimate_regions ... ok [INFO] [stdout] test tropical::matrix::tests::test_tropical_matrix_mul ... ok [INFO] [stdout] test tropical::neural_analysis::tests::test_hyperplane_max ... ok [INFO] [stdout] test tropical::semiring::tests::test_tropical_zero_one ... ok [INFO] [stdout] test tropical::semiring::tests::test_tropical_min_plus ... 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 tropical::tests::test_tropical_ops ... ok [INFO] [stdout] test utils::numerical::tests::test_softmax ... ok [INFO] [stdout] test utils::numerical::tests::test_normalize ... ok [INFO] [stdout] test utils::sorting::tests::test_quantile ... ok [INFO] [stdout] test optimization::sos::tests::test_square_is_sos ... ok [INFO] [stdout] test utils::sorting::tests::test_cdf ... ok [INFO] [stdout] test utils::sorting::tests::test_argsort ... ok [INFO] [stdout] test tensor_networks::cp_decomposition::tests::test_cp_als ... ok [INFO] [stdout] test optimization::sdp::tests::test_sdp_simple ... 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] [stderr] [INFO] [stdout] [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 0.25s [INFO] [stdout] [INFO] running `Command { std: "docker" "inspect" "70da3a00c174c2b7f455f12ee429e1c5f6e90f633cb3a87a5c176d2791560172", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "70da3a00c174c2b7f455f12ee429e1c5f6e90f633cb3a87a5c176d2791560172", kill_on_drop: false }` [INFO] [stdout] 70da3a00c174c2b7f455f12ee429e1c5f6e90f633cb3a87a5c176d2791560172