[INFO] fetching crate temporal-compare 0.5.0...
[INFO] testing temporal-compare-0.5.0 against 1.95.0 for beta-1.96-2
[INFO] extracting crate temporal-compare 0.5.0 into /workspace/builds/worker-5-tc1/source
[INFO] started tweaking crates.io crate temporal-compare 0.5.0
[INFO] finished tweaking crates.io crate temporal-compare 0.5.0
[INFO] tweaked toml for crates.io crate temporal-compare 0.5.0 written to /workspace/builds/worker-5-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate temporal-compare 0.5.0 on toolchain 1.95.0
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.95.0" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate temporal-compare 0.5.0 already has a lockfile, it will not be regenerated
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.95.0" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] [stderr]     Updating crates.io index
[INFO] [stderr]  Downloading crates ...
[INFO] [stderr]   Downloaded clap_derive v4.5.47
[INFO] [stderr]   Downloaded ndarray-rand v0.14.0
[INFO] [stderr]   Downloaded ruv-fann v0.1.6
[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" "+1.95.0" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] f6b6ab7caafc90d6863e5a6107002a3cca3a16fc217a447db7d8d380a73294a1
[INFO] running `Command { std: "docker" "start" "-a" "f6b6ab7caafc90d6863e5a6107002a3cca3a16fc217a447db7d8d380a73294a1", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "f6b6ab7caafc90d6863e5a6107002a3cca3a16fc217a447db7d8d380a73294a1", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "f6b6ab7caafc90d6863e5a6107002a3cca3a16fc217a447db7d8d380a73294a1", kill_on_drop: false }`
[INFO] [stdout] f6b6ab7caafc90d6863e5a6107002a3cca3a16fc217a447db7d8d380a73294a1
[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=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+1.95.0" "build" "--frozen" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] d00c66f3b2126813b94c23c47e54685588115b2f7e53ad4c36e0d1b35d2c1ab6
[INFO] running `Command { std: "docker" "start" "-a" "d00c66f3b2126813b94c23c47e54685588115b2f7e53ad4c36e0d1b35d2c1ab6", kill_on_drop: false }`
[INFO] [stderr]    Compiling libm v0.2.15
[INFO] [stderr]    Compiling num-traits v0.2.19
[INFO] [stderr]    Compiling matrixmultiply v0.3.10
[INFO] [stderr]    Compiling rawpointer v0.2.1
[INFO] [stderr]    Compiling anstyle-query v1.1.4
[INFO] [stderr]    Compiling getrandom v0.2.16
[INFO] [stderr]    Compiling syn v2.0.106
[INFO] [stderr]    Compiling serde_json v1.0.145
[INFO] [stderr]    Compiling anstream v0.6.20
[INFO] [stderr]    Compiling rand_core v0.6.4
[INFO] [stderr]    Compiling clap_builder v4.5.48
[INFO] [stderr]    Compiling rand_chacha v0.3.1
[INFO] [stderr]    Compiling rand v0.8.5
[INFO] [stderr]    Compiling num-integer v0.1.46
[INFO] [stderr]    Compiling num-complex v0.4.6
[INFO] [stderr]    Compiling rand_distr v0.4.3
[INFO] [stderr]    Compiling ndarray v0.15.6
[INFO] [stderr]    Compiling clap_derive v4.5.47
[INFO] [stderr]    Compiling serde_derive v1.0.228
[INFO] [stderr]    Compiling clap v4.5.48
[INFO] [stderr]    Compiling ndarray-rand v0.14.0
[INFO] [stderr]    Compiling serde v1.0.228
[INFO] [stderr]    Compiling temporal-compare v0.5.0 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused import: `ndarray::Axis`
[INFO] [stdout]  --> src/mlp_ultra.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use ndarray::Axis;
[INFO] [stdout]   |     ^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]    --> src/ensemble.rs:263:35
[INFO] [stdout]     |
[INFO] [stdout] 263 |                     weights[i] *= (alpha.exp());
[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] 263 -                     weights[i] *= (alpha.exp());
[INFO] [stdout] 263 +                     weights[i] *= alpha.exp() ;
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]    --> src/ensemble.rs:265:35
[INFO] [stdout]     |
[INFO] [stdout] 265 |                     weights[i] *= ((-alpha).exp());
[INFO] [stdout]     |                                   ^              ^
[INFO] [stdout]     |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]     |
[INFO] [stdout] 265 -                     weights[i] *= ((-alpha).exp());
[INFO] [stdout] 265 +                     weights[i] *= (-alpha).exp() ;
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Array1`
[INFO] [stdout]  --> src/attention.rs:1:23
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::{Array2, Array1, Axis};
[INFO] [stdout]   |                       ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ArrayView1`
[INFO] [stdout]  --> src/reservoir.rs:1:31
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::{Array2, Array1, ArrayView1};
[INFO] [stdout]   |                               ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around closure body
[INFO] [stdout]   --> src/fourier.rs:51:30
[INFO] [stdout]    |
[INFO] [stdout] 51 |         projections.mapv(|p| (p.cos() * scale))
[INFO] [stdout]    |                              ^               ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 51 -         projections.mapv(|p| (p.cos() * scale))
[INFO] [stdout] 51 +         projections.mapv(|p| p.cos() * scale )
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Array2`
[INFO] [stdout]  --> src/sparse.rs:1:23
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::{Array1, Array2};
[INFO] [stdout]   |                       ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around pattern
[INFO] [stdout]   --> src/sparse.rs:94:13
[INFO] [stdout]    |
[INFO] [stdout] 94 |         for ((&(i, j), &val)) in self.w1_indices.iter().zip(&self.w1_values) {
[INFO] [stdout]    |             ^               ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 94 -         for ((&(i, j), &val)) in self.w1_indices.iter().zip(&self.w1_values) {
[INFO] [stdout] 94 +         for (&(i, j), &val)  in self.w1_indices.iter().zip(&self.w1_values) {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around pattern
[INFO] [stdout]    --> src/sparse.rs:106:13
[INFO] [stdout]     |
[INFO] [stdout] 106 |         for ((&(i, j), &val)) in self.w2_indices.iter().zip(&self.w2_values) {
[INFO] [stdout]     |             ^               ^
[INFO] [stdout]     |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]     |
[INFO] [stdout] 106 -         for ((&(i, j), &val)) in self.w2_indices.iter().zip(&self.w2_values) {
[INFO] [stdout] 106 +         for (&(i, j), &val)  in self.w2_indices.iter().zip(&self.w2_values) {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Mul`
[INFO] [stdout]  --> src/quantization.rs:1:21
[INFO] [stdout]   |
[INFO] [stdout] 1 | use std::ops::{Add, Mul};
[INFO] [stdout]   |                     ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `QuantizedWeights`
[INFO] [stdout]  --> src/mlp_quantized.rs:1:41
[INFO] [stdout]   |
[INFO] [stdout] 1 | use crate::quantization::{QuantizedMlp, QuantizedWeights};
[INFO] [stdout]   |                                         ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Add`
[INFO] [stdout]  --> src/quantization.rs:1:16
[INFO] [stdout]   |
[INFO] [stdout] 1 | use std::ops::{Add, Mul};
[INFO] [stdout]   |                ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_arc`
[INFO] [stdout]   --> src/ensemble.rs:61:13
[INFO] [stdout]    |
[INFO] [stdout] 61 |         let x_arc = Arc::new(x.clone());
[INFO] [stdout]    |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_x_arc`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_arc`
[INFO] [stdout]   --> src/ensemble.rs:62:13
[INFO] [stdout]    |
[INFO] [stdout] 62 |         let y_arc = Arc::new(y.clone());
[INFO] [stdout]    |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_y_arc`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/reservoir.rs:121:13
[INFO] [stdout]     |
[INFO] [stdout] 121 |         let n_samples = inputs.len();
[INFO] [stdout]     |             ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/reservoir.rs:169:13
[INFO] [stdout]     |
[INFO] [stdout] 169 |         let mut reg_gram = gram + Array2::<f32>::eye(d) * lambda;
[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: unused variable: `n`
[INFO] [stdout]    --> src/reservoir.rs:162:13
[INFO] [stdout]     |
[INFO] [stdout] 162 |         let n = states.nrows();
[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/fourier.rs:77:13
[INFO] [stdout]    |
[INFO] [stdout] 77 |         let mut reg_xtx = xtx + Array2::<f32>::eye(self.feature_dim) * lambda * n as f32;
[INFO] [stdout]    |             ----^^^^^^^
[INFO] [stdout]    |             |
[INFO] [stdout]    |             help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary `unsafe` block
[INFO] [stdout]    --> src/mlp_avx512.rs:156:9
[INFO] [stdout]     |
[INFO] [stdout] 156 |         unsafe {
[INFO] [stdout]     |         ^^^^^^ unnecessary `unsafe` block
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_unsafe)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `scale`
[INFO] [stdout]    --> src/quantization.rs:108:13
[INFO] [stdout]     |
[INFO] [stdout] 108 |         let scale = _mm256_set1_ps(self.quantizer.scale);
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_scale`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `train_regression` is never used
[INFO] [stdout]    --> src/mlp_optimized.rs:172:12
[INFO] [stdout]     |
[INFO] [stdout]  29 | impl OptimizedMlp {
[INFO] [stdout]     | ----------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 172 |     pub fn train_regression(&mut self, x: &Vec<Vec<f32>>, y: &Vec<f32>, epochs: usize, lr: f32) {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `input_dim`, `hidden1_dim`, and `hidden2_dim` are never read
[INFO] [stdout]   --> src/mlp_classifier.rs:35:5
[INFO] [stdout]    |
[INFO] [stdout]  5 | pub struct ClassifierMlp {
[INFO] [stdout]    |            ------------- fields in this struct
[INFO] [stdout] ...
[INFO] [stdout] 35 |     input_dim: usize,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 36 |     hidden1_dim: usize,
[INFO] [stdout]    |     ^^^^^^^^^^^
[INFO] [stdout] 37 |     hidden2_dim: usize,
[INFO] [stdout]    |     ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variants `Constant` and `StepDecay` are never constructed
[INFO] [stdout]   --> src/mlp_classifier.rs:47:5
[INFO] [stdout]    |
[INFO] [stdout] 46 | pub enum LRSchedule {
[INFO] [stdout]    |          ---------- variants in this enum
[INFO] [stdout] 47 |     Constant(f32),
[INFO] [stdout]    |     ^^^^^^^^
[INFO] [stdout] 48 |     Cosine { initial: f32, min: f32, period: usize },
[INFO] [stdout] 49 |     StepDecay { initial: f32, decay: f32, step_size: usize },
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `predict_fast` is never used
[INFO] [stdout]    --> src/ensemble.rs:168:12
[INFO] [stdout]     |
[INFO] [stdout]  22 | impl EnsembleModel {
[INFO] [stdout]     | ------------------ method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 168 |     pub fn predict_fast(&mut self, x: &[Vec<f32>]) -> Vec<usize> {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `TemporalAttention` is never constructed
[INFO] [stdout]  --> src/attention.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | pub struct TemporalAttention {
[INFO] [stdout]   |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `create_positional_encoding`, `attention`, `forward`, and `extract_features` are never used
[INFO] [stdout]    --> src/attention.rs:19:12
[INFO] [stdout]     |
[INFO] [stdout]  18 | impl TemporalAttention {
[INFO] [stdout]     | ---------------------- associated items in this implementation
[INFO] [stdout]  19 |     pub fn new(d_model: usize, n_heads: usize, max_seq_len: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout]  59 |     fn create_positional_encoding(max_len: usize, d_model: usize) -> Array2<f32> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  74 |     fn attention(&self, q: &Array2<f32>, k: &Array2<f32>, v: &Array2<f32>) -> Array2<f32> {
[INFO] [stdout]     |        ^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  90 |     pub fn forward(&self, x: &Array2<f32>) -> Array2<f32> {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 123 |     pub fn extract_features(&self, sequence: &[Vec<f32>]) -> Vec<f32> {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `CausalAttention` is never constructed
[INFO] [stdout]    --> src/attention.rs:146:12
[INFO] [stdout]     |
[INFO] [stdout] 146 | pub struct CausalAttention {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new` and `forward_causal` are never used
[INFO] [stdout]    --> src/attention.rs:152:12
[INFO] [stdout]     |
[INFO] [stdout] 151 | impl CausalAttention {
[INFO] [stdout]     | -------------------- associated items in this implementation
[INFO] [stdout] 152 |     pub fn new(d_model: usize, n_heads: usize, max_seq_len: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 167 |     pub fn forward_causal(&self, x: &Array2<f32>) -> Array2<f32> {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: trait `MaskedFill` is never used
[INFO] [stdout]    --> src/attention.rs:182:7
[INFO] [stdout]     |
[INFO] [stdout] 182 | trait MaskedFill {
[INFO] [stdout]     |       ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `spectral_radius` and `sparsity` are never read
[INFO] [stdout]   --> src/reservoir.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout]  7 | pub struct ReservoirComputer {
[INFO] [stdout]    |            ----------------- fields in this struct
[INFO] [stdout] ...
[INFO] [stdout] 10 |     spectral_radius: f32,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 11 |     sparsity: f32,
[INFO] [stdout]    |     ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `quantum_layer_size`, `phase_matrix`, and `entanglement_strength` are never read
[INFO] [stdout]    --> src/reservoir.rs:234:5
[INFO] [stdout]     |
[INFO] [stdout] 232 | pub struct QuantumReservoir {
[INFO] [stdout]     |            ---------------- fields in this struct
[INFO] [stdout] 233 |     pub classical_reservoir: ReservoirComputer,
[INFO] [stdout] 234 |     quantum_layer_size: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 235 |     phase_matrix: Array2<f32>,
[INFO] [stdout]     |     ^^^^^^^^^^^^
[INFO] [stdout] 236 |     entanglement_strength: f32,
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `quantum_transform` is never used
[INFO] [stdout]    --> src/reservoir.rs:258:8
[INFO] [stdout]     |
[INFO] [stdout] 239 | impl QuantumReservoir {
[INFO] [stdout]     | --------------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 258 |     fn quantum_transform(&self, state: &Array1<f32>) -> Array1<f32> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `sigma` is never read
[INFO] [stdout]   --> src/fourier.rs:13:5
[INFO] [stdout]    |
[INFO] [stdout]  7 | pub struct FourierFeatures {
[INFO] [stdout]    |            --------------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 13 |     sigma: f32,             // RBF kernel bandwidth
[INFO] [stdout]    |     ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `sparsity` is never read
[INFO] [stdout]   --> src/sparse.rs:22:5
[INFO] [stdout]    |
[INFO] [stdout]  7 | pub struct SparseNetwork {
[INFO] [stdout]    |            ------------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 22 |     sparsity: f32,  // Fraction of weights to keep
[INFO] [stdout]    |     ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `UltraLowLatencyMlp` is never constructed
[INFO] [stdout]   --> src/mlp_avx512.rs:12:12
[INFO] [stdout]    |
[INFO] [stdout] 12 | pub struct UltraLowLatencyMlp<const INPUT: usize, const HIDDEN: usize, const OUTPUT: usize> {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: multiple associated items are never used
[INFO] [stdout]    --> src/mlp_avx512.rs:24:12
[INFO] [stdout]     |
[INFO] [stdout]  23 | impl<const I: usize, const H: usize, const O: usize> UltraLowLatencyMlp<I, H, O> {
[INFO] [stdout]     | -------------------------------------------------------------------------------- associated items in this implementation
[INFO] [stdout]  24 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout]  46 |     unsafe fn alloc_aligned(size: usize, align: usize) -> *mut f32 {
[INFO] [stdout]     |               ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  51 |     unsafe fn init_weights(ptr: *mut f32, size: usize) {
[INFO] [stdout]     |               ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  62 |     pub unsafe fn forward_avx512(&self, input: &[f32; I], output: &mut [f32; O]) {
[INFO] [stdout]     |                   ^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  75 |     unsafe fn matmul_avx512(&self, x: *const f32, w: *const f32, b: *const f32,
[INFO] [stdout]     |               ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 137 |     unsafe fn relu_avx512(&self, data: *mut f32, size: usize) {
[INFO] [stdout]     |               ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 155 |     pub fn forward_fallback(&self, input: &[f32; I], output: &mut [f32; O]) {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 186 |     pub fn train_fast(&mut self, x: &[f32; I], y: f32, lr: f32) {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 221 |     pub fn predict_batch(&self, inputs: &[[f32; I]], outputs: &mut [[f32; O]]) {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `zero_point` is never read
[INFO] [stdout]  --> src/quantization.rs:8:9
[INFO] [stdout]   |
[INFO] [stdout] 6 | pub struct Int8Quantizer {
[INFO] [stdout]   |            ------------- field in this struct
[INFO] [stdout] 7 |     pub scale: f32,
[INFO] [stdout] 8 |     pub zero_point: i8,
[INFO] [stdout]   |         ^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `Int8Quantizer` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `dequantize` and `dequantize_array` are never used
[INFO] [stdout]   --> src/quantization.rs:39:12
[INFO] [stdout]    |
[INFO] [stdout] 11 | impl Int8Quantizer {
[INFO] [stdout]    | ------------------ methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 39 |     pub fn dequantize(&self, value: i8) -> f32 {
[INFO] [stdout]    |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 49 |     pub fn dequantize_array(&self, values: &[i8]) -> Vec<f32> {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `get` and `matmul_quantized` are never used
[INFO] [stdout]   --> src/quantization.rs:75:12
[INFO] [stdout]    |
[INFO] [stdout] 61 | impl QuantizedWeights {
[INFO] [stdout]    | --------------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 75 |     pub fn get(&self, row: usize, col: usize) -> f32 {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 82 |     pub fn matmul_quantized(&self, input: &[f32], output: &mut [f32]) {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `forward` and `compression_ratio` are never used
[INFO] [stdout]    --> src/quantization.rs:175:12
[INFO] [stdout]     |
[INFO] [stdout] 161 | impl QuantizedMlp {
[INFO] [stdout]     | ----------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 175 |     pub fn forward(&self, input: &[f32], output: &mut [f32]) {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 241 |     pub fn compression_ratio(&self, original_params: usize) -> f32 {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `QuantizationAwareTraining` is never constructed
[INFO] [stdout]    --> src/quantization.rs:249:12
[INFO] [stdout]     |
[INFO] [stdout] 249 | pub struct QuantizationAwareTraining {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new` and `fake_quantize_weights` are never used
[INFO] [stdout]    --> src/quantization.rs:255:12
[INFO] [stdout]     |
[INFO] [stdout] 254 | impl QuantizationAwareTraining {
[INFO] [stdout]     | ------------------------------ associated items in this implementation
[INFO] [stdout] 255 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 263 |     pub fn fake_quantize_weights(&self, weights: &mut [f32]) {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `RuvFannModel` is never constructed
[INFO] [stdout]    --> src/ruv_fann_impl.rs:101:12
[INFO] [stdout]     |
[INFO] [stdout] 101 | pub struct RuvFannModel;
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `train_regression`, `predict_reg`, and `predict_cls3` are never used
[INFO] [stdout]    --> src/ruv_fann_impl.rs:105:12
[INFO] [stdout]     |
[INFO] [stdout] 104 | impl RuvFannModel {
[INFO] [stdout]     | ----------------- associated items in this implementation
[INFO] [stdout] 105 |     pub fn new(_: usize, _: usize, _: usize) -> Self { Self }
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 106 |     pub fn train_regression(&mut self, _: &Vec<Vec<f32>>, _: &Vec<f32>, _: usize, _: f32) {}
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 107 |     pub fn predict_reg(&self, _: &[Vec<f32>]) -> Vec<f32> { Vec::new() }
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 108 |     pub fn predict_cls3(&self, _: &[Vec<f32>]) -> Vec<usize> { Vec::new() }
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 19.46s
[INFO] running `Command { std: "docker" "inspect" "d00c66f3b2126813b94c23c47e54685588115b2f7e53ad4c36e0d1b35d2c1ab6", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "d00c66f3b2126813b94c23c47e54685588115b2f7e53ad4c36e0d1b35d2c1ab6", kill_on_drop: false }`
[INFO] [stdout] d00c66f3b2126813b94c23c47e54685588115b2f7e53ad4c36e0d1b35d2c1ab6
[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=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+1.95.0" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] ccd88b58d4e570c13dea3b8fdc82b56b7c481da2ac6c1cc1f17c4171b36080c5
[INFO] running `Command { std: "docker" "start" "-a" "ccd88b58d4e570c13dea3b8fdc82b56b7c481da2ac6c1cc1f17c4171b36080c5", kill_on_drop: false }`
[INFO] [stderr]    Compiling temporal-compare v0.5.0 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused import: `ndarray::Axis`
[INFO] [stdout]  --> src/mlp_ultra.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use ndarray::Axis;
[INFO] [stdout]   |     ^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]    --> src/ensemble.rs:263:35
[INFO] [stdout]     |
[INFO] [stdout] 263 |                     weights[i] *= (alpha.exp());
[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] 263 -                     weights[i] *= (alpha.exp());
[INFO] [stdout] 263 +                     weights[i] *= alpha.exp() ;
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around assigned value
[INFO] [stdout]    --> src/ensemble.rs:265:35
[INFO] [stdout]     |
[INFO] [stdout] 265 |                     weights[i] *= ((-alpha).exp());
[INFO] [stdout]     |                                   ^              ^
[INFO] [stdout]     |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]     |
[INFO] [stdout] 265 -                     weights[i] *= ((-alpha).exp());
[INFO] [stdout] 265 +                     weights[i] *= (-alpha).exp() ;
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Array1`
[INFO] [stdout]  --> src/attention.rs:1:23
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::{Array2, Array1, Axis};
[INFO] [stdout]   |                       ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ArrayView1`
[INFO] [stdout]  --> src/reservoir.rs:1:31
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::{Array2, Array1, ArrayView1};
[INFO] [stdout]   |                               ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around closure body
[INFO] [stdout]   --> src/fourier.rs:51:30
[INFO] [stdout]    |
[INFO] [stdout] 51 |         projections.mapv(|p| (p.cos() * scale))
[INFO] [stdout]    |                              ^               ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 51 -         projections.mapv(|p| (p.cos() * scale))
[INFO] [stdout] 51 +         projections.mapv(|p| p.cos() * scale )
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Array2`
[INFO] [stdout]  --> src/sparse.rs:1:23
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::{Array1, Array2};
[INFO] [stdout]   |                       ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around pattern
[INFO] [stdout]   --> src/sparse.rs:94:13
[INFO] [stdout]    |
[INFO] [stdout] 94 |         for ((&(i, j), &val)) in self.w1_indices.iter().zip(&self.w1_values) {
[INFO] [stdout]    |             ^               ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 94 -         for ((&(i, j), &val)) in self.w1_indices.iter().zip(&self.w1_values) {
[INFO] [stdout] 94 +         for (&(i, j), &val)  in self.w1_indices.iter().zip(&self.w1_values) {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around pattern
[INFO] [stdout]    --> src/sparse.rs:106:13
[INFO] [stdout]     |
[INFO] [stdout] 106 |         for ((&(i, j), &val)) in self.w2_indices.iter().zip(&self.w2_values) {
[INFO] [stdout]     |             ^               ^
[INFO] [stdout]     |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]     |
[INFO] [stdout] 106 -         for ((&(i, j), &val)) in self.w2_indices.iter().zip(&self.w2_values) {
[INFO] [stdout] 106 +         for (&(i, j), &val)  in self.w2_indices.iter().zip(&self.w2_values) {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Mul`
[INFO] [stdout]  --> src/quantization.rs:1:21
[INFO] [stdout]   |
[INFO] [stdout] 1 | use std::ops::{Add, Mul};
[INFO] [stdout]   |                     ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `QuantizedWeights`
[INFO] [stdout]  --> src/mlp_quantized.rs:1:41
[INFO] [stdout]   |
[INFO] [stdout] 1 | use crate::quantization::{QuantizedMlp, QuantizedWeights};
[INFO] [stdout]   |                                         ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Add`
[INFO] [stdout]  --> src/quantization.rs:1:16
[INFO] [stdout]   |
[INFO] [stdout] 1 | use std::ops::{Add, Mul};
[INFO] [stdout]   |                ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_arc`
[INFO] [stdout]   --> src/ensemble.rs:61:13
[INFO] [stdout]    |
[INFO] [stdout] 61 |         let x_arc = Arc::new(x.clone());
[INFO] [stdout]    |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_x_arc`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_arc`
[INFO] [stdout]   --> src/ensemble.rs:62:13
[INFO] [stdout]    |
[INFO] [stdout] 62 |         let y_arc = Arc::new(y.clone());
[INFO] [stdout]    |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_y_arc`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/reservoir.rs:121:13
[INFO] [stdout]     |
[INFO] [stdout] 121 |         let n_samples = inputs.len();
[INFO] [stdout]     |             ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/reservoir.rs:169:13
[INFO] [stdout]     |
[INFO] [stdout] 169 |         let mut reg_gram = gram + Array2::<f32>::eye(d) * lambda;
[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: unused variable: `n`
[INFO] [stdout]    --> src/reservoir.rs:162:13
[INFO] [stdout]     |
[INFO] [stdout] 162 |         let n = states.nrows();
[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/fourier.rs:77:13
[INFO] [stdout]    |
[INFO] [stdout] 77 |         let mut reg_xtx = xtx + Array2::<f32>::eye(self.feature_dim) * lambda * n as f32;
[INFO] [stdout]    |             ----^^^^^^^
[INFO] [stdout]    |             |
[INFO] [stdout]    |             help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary `unsafe` block
[INFO] [stdout]    --> src/mlp_avx512.rs:156:9
[INFO] [stdout]     |
[INFO] [stdout] 156 |         unsafe {
[INFO] [stdout]     |         ^^^^^^ unnecessary `unsafe` block
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_unsafe)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `scale`
[INFO] [stdout]    --> src/quantization.rs:108:13
[INFO] [stdout]     |
[INFO] [stdout] 108 |         let scale = _mm256_set1_ps(self.quantizer.scale);
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_scale`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `train_regression` is never used
[INFO] [stdout]    --> src/mlp_optimized.rs:172:12
[INFO] [stdout]     |
[INFO] [stdout]  29 | impl OptimizedMlp {
[INFO] [stdout]     | ----------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 172 |     pub fn train_regression(&mut self, x: &Vec<Vec<f32>>, y: &Vec<f32>, epochs: usize, lr: f32) {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `input_dim`, `hidden1_dim`, and `hidden2_dim` are never read
[INFO] [stdout]   --> src/mlp_classifier.rs:35:5
[INFO] [stdout]    |
[INFO] [stdout]  5 | pub struct ClassifierMlp {
[INFO] [stdout]    |            ------------- fields in this struct
[INFO] [stdout] ...
[INFO] [stdout] 35 |     input_dim: usize,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 36 |     hidden1_dim: usize,
[INFO] [stdout]    |     ^^^^^^^^^^^
[INFO] [stdout] 37 |     hidden2_dim: usize,
[INFO] [stdout]    |     ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variants `Constant` and `StepDecay` are never constructed
[INFO] [stdout]   --> src/mlp_classifier.rs:47:5
[INFO] [stdout]    |
[INFO] [stdout] 46 | pub enum LRSchedule {
[INFO] [stdout]    |          ---------- variants in this enum
[INFO] [stdout] 47 |     Constant(f32),
[INFO] [stdout]    |     ^^^^^^^^
[INFO] [stdout] 48 |     Cosine { initial: f32, min: f32, period: usize },
[INFO] [stdout] 49 |     StepDecay { initial: f32, decay: f32, step_size: usize },
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `predict_fast` is never used
[INFO] [stdout]    --> src/ensemble.rs:168:12
[INFO] [stdout]     |
[INFO] [stdout]  22 | impl EnsembleModel {
[INFO] [stdout]     | ------------------ method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 168 |     pub fn predict_fast(&mut self, x: &[Vec<f32>]) -> Vec<usize> {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `TemporalAttention` is never constructed
[INFO] [stdout]  --> src/attention.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | pub struct TemporalAttention {
[INFO] [stdout]   |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `create_positional_encoding`, `attention`, `forward`, and `extract_features` are never used
[INFO] [stdout]    --> src/attention.rs:19:12
[INFO] [stdout]     |
[INFO] [stdout]  18 | impl TemporalAttention {
[INFO] [stdout]     | ---------------------- associated items in this implementation
[INFO] [stdout]  19 |     pub fn new(d_model: usize, n_heads: usize, max_seq_len: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout]  59 |     fn create_positional_encoding(max_len: usize, d_model: usize) -> Array2<f32> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  74 |     fn attention(&self, q: &Array2<f32>, k: &Array2<f32>, v: &Array2<f32>) -> Array2<f32> {
[INFO] [stdout]     |        ^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  90 |     pub fn forward(&self, x: &Array2<f32>) -> Array2<f32> {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 123 |     pub fn extract_features(&self, sequence: &[Vec<f32>]) -> Vec<f32> {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `CausalAttention` is never constructed
[INFO] [stdout]    --> src/attention.rs:146:12
[INFO] [stdout]     |
[INFO] [stdout] 146 | pub struct CausalAttention {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new` and `forward_causal` are never used
[INFO] [stdout]    --> src/attention.rs:152:12
[INFO] [stdout]     |
[INFO] [stdout] 151 | impl CausalAttention {
[INFO] [stdout]     | -------------------- associated items in this implementation
[INFO] [stdout] 152 |     pub fn new(d_model: usize, n_heads: usize, max_seq_len: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 167 |     pub fn forward_causal(&self, x: &Array2<f32>) -> Array2<f32> {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: trait `MaskedFill` is never used
[INFO] [stdout]    --> src/attention.rs:182:7
[INFO] [stdout]     |
[INFO] [stdout] 182 | trait MaskedFill {
[INFO] [stdout]     |       ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `spectral_radius` and `sparsity` are never read
[INFO] [stdout]   --> src/reservoir.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout]  7 | pub struct ReservoirComputer {
[INFO] [stdout]    |            ----------------- fields in this struct
[INFO] [stdout] ...
[INFO] [stdout] 10 |     spectral_radius: f32,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 11 |     sparsity: f32,
[INFO] [stdout]    |     ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `quantum_layer_size`, `phase_matrix`, and `entanglement_strength` are never read
[INFO] [stdout]    --> src/reservoir.rs:234:5
[INFO] [stdout]     |
[INFO] [stdout] 232 | pub struct QuantumReservoir {
[INFO] [stdout]     |            ---------------- fields in this struct
[INFO] [stdout] 233 |     pub classical_reservoir: ReservoirComputer,
[INFO] [stdout] 234 |     quantum_layer_size: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 235 |     phase_matrix: Array2<f32>,
[INFO] [stdout]     |     ^^^^^^^^^^^^
[INFO] [stdout] 236 |     entanglement_strength: f32,
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `quantum_transform` is never used
[INFO] [stdout]    --> src/reservoir.rs:258:8
[INFO] [stdout]     |
[INFO] [stdout] 239 | impl QuantumReservoir {
[INFO] [stdout]     | --------------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 258 |     fn quantum_transform(&self, state: &Array1<f32>) -> Array1<f32> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `sigma` is never read
[INFO] [stdout]   --> src/fourier.rs:13:5
[INFO] [stdout]    |
[INFO] [stdout]  7 | pub struct FourierFeatures {
[INFO] [stdout]    |            --------------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 13 |     sigma: f32,             // RBF kernel bandwidth
[INFO] [stdout]    |     ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `sparsity` is never read
[INFO] [stdout]   --> src/sparse.rs:22:5
[INFO] [stdout]    |
[INFO] [stdout]  7 | pub struct SparseNetwork {
[INFO] [stdout]    |            ------------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 22 |     sparsity: f32,  // Fraction of weights to keep
[INFO] [stdout]    |     ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `UltraLowLatencyMlp` is never constructed
[INFO] [stdout]   --> src/mlp_avx512.rs:12:12
[INFO] [stdout]    |
[INFO] [stdout] 12 | pub struct UltraLowLatencyMlp<const INPUT: usize, const HIDDEN: usize, const OUTPUT: usize> {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: multiple associated items are never used
[INFO] [stdout]    --> src/mlp_avx512.rs:24:12
[INFO] [stdout]     |
[INFO] [stdout]  23 | impl<const I: usize, const H: usize, const O: usize> UltraLowLatencyMlp<I, H, O> {
[INFO] [stdout]     | -------------------------------------------------------------------------------- associated items in this implementation
[INFO] [stdout]  24 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout]  46 |     unsafe fn alloc_aligned(size: usize, align: usize) -> *mut f32 {
[INFO] [stdout]     |               ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  51 |     unsafe fn init_weights(ptr: *mut f32, size: usize) {
[INFO] [stdout]     |               ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  62 |     pub unsafe fn forward_avx512(&self, input: &[f32; I], output: &mut [f32; O]) {
[INFO] [stdout]     |                   ^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  75 |     unsafe fn matmul_avx512(&self, x: *const f32, w: *const f32, b: *const f32,
[INFO] [stdout]     |               ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 137 |     unsafe fn relu_avx512(&self, data: *mut f32, size: usize) {
[INFO] [stdout]     |               ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 155 |     pub fn forward_fallback(&self, input: &[f32; I], output: &mut [f32; O]) {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 186 |     pub fn train_fast(&mut self, x: &[f32; I], y: f32, lr: f32) {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 221 |     pub fn predict_batch(&self, inputs: &[[f32; I]], outputs: &mut [[f32; O]]) {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `zero_point` is never read
[INFO] [stdout]  --> src/quantization.rs:8:9
[INFO] [stdout]   |
[INFO] [stdout] 6 | pub struct Int8Quantizer {
[INFO] [stdout]   |            ------------- field in this struct
[INFO] [stdout] 7 |     pub scale: f32,
[INFO] [stdout] 8 |     pub zero_point: i8,
[INFO] [stdout]   |         ^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `Int8Quantizer` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `dequantize_array` is never used
[INFO] [stdout]   --> src/quantization.rs:49:12
[INFO] [stdout]    |
[INFO] [stdout] 11 | impl Int8Quantizer {
[INFO] [stdout]    | ------------------ method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 49 |     pub fn dequantize_array(&self, values: &[i8]) -> Vec<f32> {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `get` and `matmul_quantized` are never used
[INFO] [stdout]   --> src/quantization.rs:75:12
[INFO] [stdout]    |
[INFO] [stdout] 61 | impl QuantizedWeights {
[INFO] [stdout]    | --------------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 75 |     pub fn get(&self, row: usize, col: usize) -> f32 {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 82 |     pub fn matmul_quantized(&self, input: &[f32], output: &mut [f32]) {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `forward` is never used
[INFO] [stdout]    --> src/quantization.rs:175:12
[INFO] [stdout]     |
[INFO] [stdout] 161 | impl QuantizedMlp {
[INFO] [stdout]     | ----------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 175 |     pub fn forward(&self, input: &[f32], output: &mut [f32]) {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `QuantizationAwareTraining` is never constructed
[INFO] [stdout]    --> src/quantization.rs:249:12
[INFO] [stdout]     |
[INFO] [stdout] 249 | pub struct QuantizationAwareTraining {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new` and `fake_quantize_weights` are never used
[INFO] [stdout]    --> src/quantization.rs:255:12
[INFO] [stdout]     |
[INFO] [stdout] 254 | impl QuantizationAwareTraining {
[INFO] [stdout]     | ------------------------------ associated items in this implementation
[INFO] [stdout] 255 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 263 |     pub fn fake_quantize_weights(&self, weights: &mut [f32]) {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `RuvFannModel` is never constructed
[INFO] [stdout]    --> src/ruv_fann_impl.rs:101:12
[INFO] [stdout]     |
[INFO] [stdout] 101 | pub struct RuvFannModel;
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `train_regression`, `predict_reg`, and `predict_cls3` are never used
[INFO] [stdout]    --> src/ruv_fann_impl.rs:105:12
[INFO] [stdout]     |
[INFO] [stdout] 104 | impl RuvFannModel {
[INFO] [stdout]     | ----------------- associated items in this implementation
[INFO] [stdout] 105 |     pub fn new(_: usize, _: usize, _: usize) -> Self { Self }
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 106 |     pub fn train_regression(&mut self, _: &Vec<Vec<f32>>, _: &Vec<f32>, _: usize, _: f32) {}
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^
[INFO] [stdout] 107 |     pub fn predict_reg(&self, _: &[Vec<f32>]) -> Vec<f32> { Vec::new() }
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 108 |     pub fn predict_cls3(&self, _: &[Vec<f32>]) -> Vec<usize> { Vec::new() }
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 1.68s
[INFO] running `Command { std: "docker" "inspect" "ccd88b58d4e570c13dea3b8fdc82b56b7c481da2ac6c1cc1f17c4171b36080c5", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "ccd88b58d4e570c13dea3b8fdc82b56b7c481da2ac6c1cc1f17c4171b36080c5", kill_on_drop: false }`
[INFO] [stdout] ccd88b58d4e570c13dea3b8fdc82b56b7c481da2ac6c1cc1f17c4171b36080c5
[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=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+1.95.0" "test" "--frozen", kill_on_drop: false }`
[INFO] [stdout] d14d345e2f14014d6f36fbceef75aa3983b2374583db0ca281dd8f964eedec5d
[INFO] running `Command { std: "docker" "start" "-a" "d14d345e2f14014d6f36fbceef75aa3983b2374583db0ca281dd8f964eedec5d", kill_on_drop: false }`
[INFO] [stderr] warning: unused import: `ndarray::Axis`
[INFO] [stderr]  --> src/mlp_ultra.rs:2:5
[INFO] [stderr]   |
[INFO] [stderr] 2 | use ndarray::Axis;
[INFO] [stderr]   |     ^^^^^^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]    --> src/ensemble.rs:263:35
[INFO] [stderr]     |
[INFO] [stderr] 263 |                     weights[i] *= (alpha.exp());
[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] 263 -                     weights[i] *= (alpha.exp());
[INFO] [stderr] 263 +                     weights[i] *= alpha.exp() ;
[INFO] [stderr]     |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around assigned value
[INFO] [stderr]    --> src/ensemble.rs:265:35
[INFO] [stderr]     |
[INFO] [stderr] 265 |                     weights[i] *= ((-alpha).exp());
[INFO] [stderr]     |                                   ^              ^
[INFO] [stderr]     |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]     |
[INFO] [stderr] 265 -                     weights[i] *= ((-alpha).exp());
[INFO] [stderr] 265 +                     weights[i] *= (-alpha).exp() ;
[INFO] [stderr]     |
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `Array1`
[INFO] [stderr]  --> src/attention.rs:1:23
[INFO] [stderr]   |
[INFO] [stderr] 1 | use ndarray::{Array2, Array1, Axis};
[INFO] [stderr]   |                       ^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `ArrayView1`
[INFO] [stderr]  --> src/reservoir.rs:1:31
[INFO] [stderr]   |
[INFO] [stderr] 1 | use ndarray::{Array2, Array1, ArrayView1};
[INFO] [stderr]   |                               ^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around closure body
[INFO] [stderr]   --> src/fourier.rs:51:30
[INFO] [stderr]    |
[INFO] [stderr] 51 |         projections.mapv(|p| (p.cos() * scale))
[INFO] [stderr]    |                              ^               ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 51 -         projections.mapv(|p| (p.cos() * scale))
[INFO] [stderr] 51 +         projections.mapv(|p| p.cos() * scale )
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `Array2`
[INFO] [stderr]  --> src/sparse.rs:1:23
[INFO] [stderr]   |
[INFO] [stderr] 1 | use ndarray::{Array1, Array2};
[INFO] [stderr]   |                       ^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around pattern
[INFO] [stderr]   --> src/sparse.rs:94:13
[INFO] [stderr]    |
[INFO] [stderr] 94 |         for ((&(i, j), &val)) in self.w1_indices.iter().zip(&self.w1_values) {
[INFO] [stderr]    |             ^               ^
[INFO] [stderr]    |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 94 -         for ((&(i, j), &val)) in self.w1_indices.iter().zip(&self.w1_values) {
[INFO] [stderr] 94 +         for (&(i, j), &val)  in self.w1_indices.iter().zip(&self.w1_values) {
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around pattern
[INFO] [stderr]    --> src/sparse.rs:106:13
[INFO] [stderr]     |
[INFO] [stderr] 106 |         for ((&(i, j), &val)) in self.w2_indices.iter().zip(&self.w2_values) {
[INFO] [stderr]     |             ^               ^
[INFO] [stderr]     |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]     |
[INFO] [stderr] 106 -         for ((&(i, j), &val)) in self.w2_indices.iter().zip(&self.w2_values) {
[INFO] [stderr] 106 +         for (&(i, j), &val)  in self.w2_indices.iter().zip(&self.w2_values) {
[INFO] [stderr]     |
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `Mul`
[INFO] [stderr]  --> src/quantization.rs:1:21
[INFO] [stderr]   |
[INFO] [stderr] 1 | use std::ops::{Add, Mul};
[INFO] [stderr]   |                     ^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `QuantizedWeights`
[INFO] [stderr]  --> src/mlp_quantized.rs:1:41
[INFO] [stderr]   |
[INFO] [stderr] 1 | use crate::quantization::{QuantizedMlp, QuantizedWeights};
[INFO] [stderr]   |                                         ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `Add`
[INFO] [stderr]  --> src/quantization.rs:1:16
[INFO] [stderr]   |
[INFO] [stderr] 1 | use std::ops::{Add, Mul};
[INFO] [stderr]   |                ^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `x_arc`
[INFO] [stderr]   --> src/ensemble.rs:61:13
[INFO] [stderr]    |
[INFO] [stderr] 61 |         let x_arc = Arc::new(x.clone());
[INFO] [stderr]    |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_x_arc`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `y_arc`
[INFO] [stderr]   --> src/ensemble.rs:62:13
[INFO] [stderr]    |
[INFO] [stderr] 62 |         let y_arc = Arc::new(y.clone());
[INFO] [stderr]    |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_y_arc`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `n_samples`
[INFO] [stderr]    --> src/reservoir.rs:121:13
[INFO] [stderr]     |
[INFO] [stderr] 121 |         let n_samples = inputs.len();
[INFO] [stderr]     |             ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]    --> src/reservoir.rs:169:13
[INFO] [stderr]     |
[INFO] [stderr] 169 |         let mut reg_gram = gram + Array2::<f32>::eye(d) * lambda;
[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: unused variable: `n`
[INFO] [stderr]    --> src/reservoir.rs:162:13
[INFO] [stderr]     |
[INFO] [stderr] 162 |         let n = states.nrows();
[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/fourier.rs:77:13
[INFO] [stderr]    |
[INFO] [stderr] 77 |         let mut reg_xtx = xtx + Array2::<f32>::eye(self.feature_dim) * lambda * n as f32;
[INFO] [stderr]    |             ----^^^^^^^
[INFO] [stderr]    |             |
[INFO] [stderr]    |             help: remove this `mut`
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary `unsafe` block
[INFO] [stderr]    --> src/mlp_avx512.rs:156:9
[INFO] [stderr]     |
[INFO] [stderr] 156 |         unsafe {
[INFO] [stderr]     |         ^^^^^^ unnecessary `unsafe` block
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(unused_unsafe)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `scale`
[INFO] [stderr]    --> src/quantization.rs:108:13
[INFO] [stderr]     |
[INFO] [stderr] 108 |         let scale = _mm256_set1_ps(self.quantizer.scale);
[INFO] [stderr]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_scale`
[INFO] [stderr] 
[INFO] [stderr] warning: method `train_regression` is never used
[INFO] [stderr]    --> src/mlp_optimized.rs:172:12
[INFO] [stderr]     |
[INFO] [stderr]  29 | impl OptimizedMlp {
[INFO] [stderr]     | ----------------- method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 172 |     pub fn train_regression(&mut self, x: &Vec<Vec<f32>>, y: &Vec<f32>, epochs: usize, lr: f32) {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: fields `input_dim`, `hidden1_dim`, and `hidden2_dim` are never read
[INFO] [stderr]   --> src/mlp_classifier.rs:35:5
[INFO] [stderr]    |
[INFO] [stderr]  5 | pub struct ClassifierMlp {
[INFO] [stderr]    |            ------------- fields in this struct
[INFO] [stderr] ...
[INFO] [stderr] 35 |     input_dim: usize,
[INFO] [stderr]    |     ^^^^^^^^^
[INFO] [stderr] 36 |     hidden1_dim: usize,
[INFO] [stderr]    |     ^^^^^^^^^^^
[INFO] [stderr] 37 |     hidden2_dim: usize,
[INFO] [stderr]    |     ^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variants `Constant` and `StepDecay` are never constructed
[INFO] [stderr]   --> src/mlp_classifier.rs:47:5
[INFO] [stderr]    |
[INFO] [stderr] 46 | pub enum LRSchedule {
[INFO] [stderr]    |          ---------- variants in this enum
[INFO] [stderr] 47 |     Constant(f32),
[INFO] [stderr]    |     ^^^^^^^^
[INFO] [stderr] 48 |     Cosine { initial: f32, min: f32, period: usize },
[INFO] [stderr] 49 |     StepDecay { initial: f32, decay: f32, step_size: usize },
[INFO] [stderr]    |     ^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method `predict_fast` is never used
[INFO] [stderr]    --> src/ensemble.rs:168:12
[INFO] [stderr]     |
[INFO] [stderr]  22 | impl EnsembleModel {
[INFO] [stderr]     | ------------------ method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 168 |     pub fn predict_fast(&mut self, x: &[Vec<f32>]) -> Vec<usize> {
[INFO] [stderr]     |            ^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: struct `TemporalAttention` is never constructed
[INFO] [stderr]  --> src/attention.rs:5:12
[INFO] [stderr]   |
[INFO] [stderr] 5 | pub struct TemporalAttention {
[INFO] [stderr]   |            ^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated items `new`, `create_positional_encoding`, `attention`, `forward`, and `extract_features` are never used
[INFO] [stderr]    --> src/attention.rs:19:12
[INFO] [stderr]     |
[INFO] [stderr]  18 | impl TemporalAttention {
[INFO] [stderr]     | ---------------------- associated items in this implementation
[INFO] [stderr]  19 |     pub fn new(d_model: usize, n_heads: usize, max_seq_len: usize) -> Self {
[INFO] [stderr]     |            ^^^
[INFO] [stderr] ...
[INFO] [stderr]  59 |     fn create_positional_encoding(max_len: usize, d_model: usize) -> Array2<f32> {
[INFO] [stderr]     |        ^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr]  74 |     fn attention(&self, q: &Array2<f32>, k: &Array2<f32>, v: &Array2<f32>) -> Array2<f32> {
[INFO] [stderr]     |        ^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr]  90 |     pub fn forward(&self, x: &Array2<f32>) -> Array2<f32> {
[INFO] [stderr]     |            ^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 123 |     pub fn extract_features(&self, sequence: &[Vec<f32>]) -> Vec<f32> {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: struct `CausalAttention` is never constructed
[INFO] [stderr]    --> src/attention.rs:146:12
[INFO] [stderr]     |
[INFO] [stderr] 146 | pub struct CausalAttention {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated items `new` and `forward_causal` are never used
[INFO] [stderr]    --> src/attention.rs:152:12
[INFO] [stderr]     |
[INFO] [stderr] 151 | impl CausalAttention {
[INFO] [stderr]     | -------------------- associated items in this implementation
[INFO] [stderr] 152 |     pub fn new(d_model: usize, n_heads: usize, max_seq_len: usize) -> Self {
[INFO] [stderr]     |            ^^^
[INFO] [stderr] ...
[INFO] [stderr] 167 |     pub fn forward_causal(&self, x: &Array2<f32>) -> Array2<f32> {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: trait `MaskedFill` is never used
[INFO] [stderr]    --> src/attention.rs:182:7
[INFO] [stderr]     |
[INFO] [stderr] 182 | trait MaskedFill {
[INFO] [stderr]     |       ^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: fields `spectral_radius` and `sparsity` are never read
[INFO] [stderr]   --> src/reservoir.rs:10:5
[INFO] [stderr]    |
[INFO] [stderr]  7 | pub struct ReservoirComputer {
[INFO] [stderr]    |            ----------------- fields in this struct
[INFO] [stderr] ...
[INFO] [stderr] 10 |     spectral_radius: f32,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^
[INFO] [stderr] 11 |     sparsity: f32,
[INFO] [stderr]    |     ^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: fields `quantum_layer_size`, `phase_matrix`, and `entanglement_strength` are never read
[INFO] [stderr]    --> src/reservoir.rs:234:5
[INFO] [stderr]     |
[INFO] [stderr] 232 | pub struct QuantumReservoir {
[INFO] [stderr]     |            ---------------- fields in this struct
[INFO] [stderr] 233 |     pub classical_reservoir: ReservoirComputer,
[INFO] [stderr] 234 |     quantum_layer_size: usize,
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 235 |     phase_matrix: Array2<f32>,
[INFO] [stderr]     |     ^^^^^^^^^^^^
[INFO] [stderr] 236 |     entanglement_strength: f32,
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method `quantum_transform` is never used
[INFO] [stderr]    --> src/reservoir.rs:258:8
[INFO] [stderr]     |
[INFO] [stderr] 239 | impl QuantumReservoir {
[INFO] [stderr]     | --------------------- method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 258 |     fn quantum_transform(&self, state: &Array1<f32>) -> Array1<f32> {
[INFO] [stderr]     |        ^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: field `sigma` is never read
[INFO] [stderr]   --> src/fourier.rs:13:5
[INFO] [stderr]    |
[INFO] [stderr]  7 | pub struct FourierFeatures {
[INFO] [stderr]    |            --------------- field in this struct
[INFO] [stderr] ...
[INFO] [stderr] 13 |     sigma: f32,             // RBF kernel bandwidth
[INFO] [stderr]    |     ^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: field `sparsity` is never read
[INFO] [stderr]   --> src/sparse.rs:22:5
[INFO] [stderr]    |
[INFO] [stderr]  7 | pub struct SparseNetwork {
[INFO] [stderr]    |            ------------- field in this struct
[INFO] [stderr] ...
[INFO] [stderr] 22 |     sparsity: f32,  // Fraction of weights to keep
[INFO] [stderr]    |     ^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: struct `UltraLowLatencyMlp` is never constructed
[INFO] [stderr]   --> src/mlp_avx512.rs:12:12
[INFO] [stderr]    |
[INFO] [stderr] 12 | pub struct UltraLowLatencyMlp<const INPUT: usize, const HIDDEN: usize, const OUTPUT: usize> {
[INFO] [stderr]    |            ^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: multiple associated items are never used
[INFO] [stderr]    --> src/mlp_avx512.rs:24:12
[INFO] [stderr]     |
[INFO] [stderr]  23 | impl<const I: usize, const H: usize, const O: usize> UltraLowLatencyMlp<I, H, O> {
[INFO] [stderr]     | -------------------------------------------------------------------------------- associated items in this implementation
[INFO] [stderr]  24 |     pub fn new() -> Self {
[INFO] [stderr]     |            ^^^
[INFO] [stderr] ...
[INFO] [stderr]  46 |     unsafe fn alloc_aligned(size: usize, align: usize) -> *mut f32 {
[INFO] [stderr]     |               ^^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr]  51 |     unsafe fn init_weights(ptr: *mut f32, size: usize) {
[INFO] [stderr]     |               ^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr]  62 |     pub unsafe fn forward_avx512(&self, input: &[f32; I], output: &mut [f32; O]) {
[INFO] [stderr]     |                   ^^^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr]  75 |     unsafe fn matmul_avx512(&self, x: *const f32, w: *const f32, b: *const f32,
[INFO] [stderr]     |               ^^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 137 |     unsafe fn relu_avx512(&self, data: *mut f32, size: usize) {
[INFO] [stderr]     |               ^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 155 |     pub fn forward_fallback(&self, input: &[f32; I], output: &mut [f32; O]) {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 186 |     pub fn train_fast(&mut self, x: &[f32; I], y: f32, lr: f32) {
[INFO] [stderr]     |            ^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 221 |     pub fn predict_batch(&self, inputs: &[[f32; I]], outputs: &mut [[f32; O]]) {
[INFO] [stderr]     |            ^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: field `zero_point` is never read
[INFO] [stderr]  --> src/quantization.rs:8:9
[INFO] [stderr]   |
[INFO] [stderr] 6 | pub struct Int8Quantizer {
[INFO] [stderr]   |            ------------- field in this struct
[INFO] [stderr] 7 |     pub scale: f32,
[INFO] [stderr] 8 |     pub zero_point: i8,
[INFO] [stderr]   |         ^^^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `Int8Quantizer` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis
[INFO] [stderr] 
[INFO] [stderr] warning: method `dequantize_array` is never used
[INFO] [stderr]   --> src/quantization.rs:49:12
[INFO] [stderr]    |
[INFO] [stderr] 11 | impl Int8Quantizer {
[INFO] [stderr]    | ------------------ method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 49 |     pub fn dequantize_array(&self, values: &[i8]) -> Vec<f32> {
[INFO] [stderr]    |            ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: methods `get` and `matmul_quantized` are never used
[INFO] [stderr]   --> src/quantization.rs:75:12
[INFO] [stderr]    |
[INFO] [stderr] 61 | impl QuantizedWeights {
[INFO] [stderr]    | --------------------- methods in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 75 |     pub fn get(&self, row: usize, col: usize) -> f32 {
[INFO] [stderr]    |            ^^^
[INFO] [stderr] ...
[INFO] [stderr] 82 |     pub fn matmul_quantized(&self, input: &[f32], output: &mut [f32]) {
[INFO] [stderr]    |            ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method `forward` is never used
[INFO] [stderr]    --> src/quantization.rs:175:12
[INFO] [stderr]     |
[INFO] [stderr] 161 | impl QuantizedMlp {
[INFO] [stderr]     | ----------------- method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 175 |     pub fn forward(&self, input: &[f32], output: &mut [f32]) {
[INFO] [stderr]     |            ^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: struct `QuantizationAwareTraining` is never constructed
[INFO] [stderr]    --> src/quantization.rs:249:12
[INFO] [stderr]     |
[INFO] [stderr] 249 | pub struct QuantizationAwareTraining {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated items `new` and `fake_quantize_weights` are never used
[INFO] [stderr]    --> src/quantization.rs:255:12
[INFO] [stderr]     |
[INFO] [stderr] 254 | impl QuantizationAwareTraining {
[INFO] [stderr]     | ------------------------------ associated items in this implementation
[INFO] [stderr] 255 |     pub fn new() -> Self {
[INFO] [stderr]     |            ^^^
[INFO] [stderr] ...
[INFO] [stderr] 263 |     pub fn fake_quantize_weights(&self, weights: &mut [f32]) {
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: struct `RuvFannModel` is never constructed
[INFO] [stderr]    --> src/ruv_fann_impl.rs:101:12
[INFO] [stderr]     |
[INFO] [stderr] 101 | pub struct RuvFannModel;
[INFO] [stderr]     |            ^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated items `new`, `train_regression`, `predict_reg`, and `predict_cls3` are never used
[INFO] [stderr]    --> src/ruv_fann_impl.rs:105:12
[INFO] [stderr]     |
[INFO] [stderr] 104 | impl RuvFannModel {
[INFO] [stderr]     | ----------------- associated items in this implementation
[INFO] [stderr] 105 |     pub fn new(_: usize, _: usize, _: usize) -> Self { Self }
[INFO] [stderr]     |            ^^^
[INFO] [stderr] 106 |     pub fn train_regression(&mut self, _: &Vec<Vec<f32>>, _: &Vec<f32>, _: usize, _: f32) {}
[INFO] [stderr]     |            ^^^^^^^^^^^^^^^^
[INFO] [stderr] 107 |     pub fn predict_reg(&self, _: &[Vec<f32>]) -> Vec<f32> { Vec::new() }
[INFO] [stderr]     |            ^^^^^^^^^^^
[INFO] [stderr] 108 |     pub fn predict_cls3(&self, _: &[Vec<f32>]) -> Vec<usize> { Vec::new() }
[INFO] [stderr]     |            ^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: `temporal-compare` (bin "temporal-compare" test) generated 44 warnings (run `cargo fix --bin "temporal-compare" -p temporal-compare --tests` to apply 18 suggestions)
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 0.17s
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/temporal_compare-e142c5e69058a916)
[INFO] [stdout] 
[INFO] [stdout] running 3 tests
[INFO] [stdout] test quantization::tests::test_compression_ratio ... ok
[INFO] [stdout] test quantization::tests::test_quantization_round_trip ... ok
[INFO] [stdout] test mlp_quantized::tests::test_quantized_mlp ... ok
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 3 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.10s
[INFO] [stdout] 
[INFO] running `Command { std: "docker" "inspect" "d14d345e2f14014d6f36fbceef75aa3983b2374583db0ca281dd8f964eedec5d", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "d14d345e2f14014d6f36fbceef75aa3983b2374583db0ca281dd8f964eedec5d", kill_on_drop: false }`
[INFO] [stdout] d14d345e2f14014d6f36fbceef75aa3983b2374583db0ca281dd8f964eedec5d
