[INFO] fetching crate temporal-compare 0.5.0... [INFO] testing temporal-compare-0.5.0 against beta-2025-10-28 for beta-1.92-2 [INFO] extracting crate temporal-compare 0.5.0 into /workspace/builds/worker-6-tc2/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-6-tc2/source/Cargo.toml [INFO] validating manifest of crates.io crate temporal-compare 0.5.0 on toolchain beta-2025-10-28 [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+beta-2025-10-28" "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" "+beta-2025-10-28" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/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@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2025-10-28" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 40360587082d17734f2d08307b6bf439dc0b92d814f95153c8999b207b2b603a [INFO] running `Command { std: "docker" "start" "-a" "40360587082d17734f2d08307b6bf439dc0b92d814f95153c8999b207b2b603a", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "40360587082d17734f2d08307b6bf439dc0b92d814f95153c8999b207b2b603a", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "40360587082d17734f2d08307b6bf439dc0b92d814f95153c8999b207b2b603a", kill_on_drop: false }` [INFO] [stdout] 40360587082d17734f2d08307b6bf439dc0b92d814f95153c8999b207b2b603a [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/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@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2025-10-28" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 556ffb700530b1f3b29525a20a5945fc73476630a3e372e7b39cc038674b1742 [INFO] running `Command { std: "docker" "start" "-a" "556ffb700530b1f3b29525a20a5945fc73476630a3e372e7b39cc038674b1742", kill_on_drop: false }` [INFO] [stderr] Compiling libc v0.2.176 [INFO] [stderr] Compiling anstream v0.6.20 [INFO] [stderr] Compiling syn v2.0.106 [INFO] [stderr] Compiling num-integer v0.1.46 [INFO] [stderr] Compiling num-complex v0.4.6 [INFO] [stderr] Compiling rayon v1.11.0 [INFO] [stderr] Compiling clap_builder v4.5.48 [INFO] [stderr] Compiling ndarray v0.15.6 [INFO] [stderr] Compiling getrandom v0.2.16 [INFO] [stderr] Compiling rand_core v0.6.4 [INFO] [stderr] Compiling rand_chacha v0.3.1 [INFO] [stderr] Compiling rand v0.8.5 [INFO] [stderr] Compiling rand_distr v0.4.3 [INFO] [stderr] Compiling clap_derive v4.5.47 [INFO] [stderr] Compiling serde_derive v1.0.228 [INFO] [stderr] Compiling ndarray-rand v0.14.0 [INFO] [stderr] Compiling clap v4.5.48 [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::::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::::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>, y: &Vec, 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]) -> Vec { [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 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 74 | fn attention(&self, q: &Array2, k: &Array2, v: &Array2) -> Array2 { [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 90 | pub fn forward(&self, x: &Array2) -> Array2 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 123 | pub fn extract_features(&self, sequence: &[Vec]) -> Vec { [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) -> Array2 { [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, [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) -> Array1 { [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 { [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 UltraLowLatencyMlp { [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 { [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, _: usize, _: f32) {} [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] 107 | pub fn predict_reg(&self, _: &[Vec]) -> Vec { Vec::new() } [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] 108 | pub fn predict_cls3(&self, _: &[Vec]) -> Vec { Vec::new() } [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 19.87s [INFO] running `Command { std: "docker" "inspect" "556ffb700530b1f3b29525a20a5945fc73476630a3e372e7b39cc038674b1742", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "556ffb700530b1f3b29525a20a5945fc73476630a3e372e7b39cc038674b1742", kill_on_drop: false }` [INFO] [stdout] 556ffb700530b1f3b29525a20a5945fc73476630a3e372e7b39cc038674b1742 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/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@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2025-10-28" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] fac1a1e3f3f02bcab403632f1ef01f6783ec46d74b41a3490a92c835b40da26c [INFO] running `Command { std: "docker" "start" "-a" "fac1a1e3f3f02bcab403632f1ef01f6783ec46d74b41a3490a92c835b40da26c", 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::::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::::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>, y: &Vec, 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]) -> Vec { [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 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 74 | fn attention(&self, q: &Array2, k: &Array2, v: &Array2) -> Array2 { [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 90 | pub fn forward(&self, x: &Array2) -> Array2 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 123 | pub fn extract_features(&self, sequence: &[Vec]) -> Vec { [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) -> Array2 { [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, [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) -> Array1 { [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 { [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 UltraLowLatencyMlp { [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 { [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, _: usize, _: f32) {} [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] 107 | pub fn predict_reg(&self, _: &[Vec]) -> Vec { Vec::new() } [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] 108 | pub fn predict_cls3(&self, _: &[Vec]) -> Vec { Vec::new() } [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 1.40s [INFO] running `Command { std: "docker" "inspect" "fac1a1e3f3f02bcab403632f1ef01f6783ec46d74b41a3490a92c835b40da26c", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "fac1a1e3f3f02bcab403632f1ef01f6783ec46d74b41a3490a92c835b40da26c", kill_on_drop: false }` [INFO] [stdout] fac1a1e3f3f02bcab403632f1ef01f6783ec46d74b41a3490a92c835b40da26c [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/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@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2025-10-28" "test" "--frozen", kill_on_drop: false }` [INFO] [stdout] bed1b0168949777eee7abce906d0a56db696bbbaf9d50536706aea5f3c4e9de7 [INFO] running `Command { std: "docker" "start" "-a" "bed1b0168949777eee7abce906d0a56db696bbbaf9d50536706aea5f3c4e9de7", 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::::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::::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>, y: &Vec, 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]) -> Vec { [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 { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 74 | fn attention(&self, q: &Array2, k: &Array2, v: &Array2) -> Array2 { [INFO] [stderr] | ^^^^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 90 | pub fn forward(&self, x: &Array2) -> Array2 { [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 123 | pub fn extract_features(&self, sequence: &[Vec]) -> Vec { [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) -> Array2 { [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, [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) -> Array1 { [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 { [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 UltraLowLatencyMlp { [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 { [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, _: usize, _: f32) {} [INFO] [stderr] | ^^^^^^^^^^^^^^^^ [INFO] [stderr] 107 | pub fn predict_reg(&self, _: &[Vec]) -> Vec { Vec::new() } [INFO] [stderr] | ^^^^^^^^^^^ [INFO] [stderr] 108 | pub fn predict_cls3(&self, _: &[Vec]) -> Vec { 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 0.10s [INFO] [stdout] [INFO] [stderr] Running unittests src/main.rs (/opt/rustwide/target/debug/deps/temporal_compare-808d8db649f5efcc) [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 0.21s [INFO] [stdout] [INFO] running `Command { std: "docker" "inspect" "bed1b0168949777eee7abce906d0a56db696bbbaf9d50536706aea5f3c4e9de7", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "bed1b0168949777eee7abce906d0a56db696bbbaf9d50536706aea5f3c4e9de7", kill_on_drop: false }` [INFO] [stdout] bed1b0168949777eee7abce906d0a56db696bbbaf9d50536706aea5f3c4e9de7