[INFO] fetching crate sklears-svm 0.1.0-alpha.1...
[INFO] checking sklears-svm-0.1.0-alpha.1 against master#bad50269f8eb0fda214f0478c3afb2c6fbb427fd for pr-149195-1
[INFO] extracting crate sklears-svm 0.1.0-alpha.1 into /workspace/builds/worker-4-tc1/source
[INFO] started tweaking crates.io crate sklears-svm 0.1.0-alpha.1
[INFO] removed 0 missing examples
[INFO] removed 0 missing tests
[INFO] finished tweaking crates.io crate sklears-svm 0.1.0-alpha.1
[INFO] tweaked toml for crates.io crate sklears-svm 0.1.0-alpha.1 written to /workspace/builds/worker-4-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate sklears-svm 0.1.0-alpha.1 on toolchain bad50269f8eb0fda214f0478c3afb2c6fbb427fd
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate sklears-svm 0.1.0-alpha.1 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" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
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[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-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@sha256:94a0c148923f5b2b52a63ef0eeb1882ad339ab61bce784c8077cbe41c61feb6c" "/opt/rustwide/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
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[INFO] running `Command { std: "docker" "start" "-a" "d1c8ba4f424e6c01fa3fe57fca04ce43ab39330e44b43e961c0e9a1786f8a6ca", kill_on_drop: false }`
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[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:94a0c148923f5b2b52a63ef0eeb1882ad339ab61bce784c8077cbe41c61feb6c" "/opt/rustwide/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }`
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[INFO] running `Command { std: "docker" "start" "-a" "87edf5f0d6c0e6723ea764866a12cce516cd7d77d44efc161291eac7d7aa34fe", kill_on_drop: false }`
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[INFO] [stderr]     Checking sklears-svm v0.1.0-alpha.1 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused import: `sklears_core::traits::Fit`
[INFO] [stdout]    --> src/adaptive_regularization.rs:212:13
[INFO] [stdout]     |
[INFO] [stdout] 212 |         use sklears_core::traits::Fit;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::Rng`
[INFO] [stdout]   --> src/outlier_resistant_svm.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 11 | use scirs2_core::Rng;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `sklears_core::traits::Predict`
[INFO] [stdout]    --> src/adaptive_regularization.rs:564:13
[INFO] [stdout]     |
[INFO] [stdout] 564 |         use sklears_core::traits::Predict;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/adaptive_regularization.rs:186:25
[INFO] [stdout]     |
[INFO] [stdout] 186 |         let (n_samples, n_features) = x.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `acquisition_function`
[INFO] [stdout]    --> src/adaptive_regularization.rs:366:9
[INFO] [stdout]     |
[INFO] [stdout] 366 |         acquisition_function: &AcquisitionFunction,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_acquisition_function`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `best_score` is never read
[INFO] [stdout]    --> src/adaptive_regularization.rs:370:30
[INFO] [stdout]     |
[INFO] [stdout] 370 |         let mut best_score = f64::NEG_INFINITY;
[INFO] [stdout]     |                              ^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `val_probs`
[INFO] [stdout]    --> src/calibration.rs:142:17
[INFO] [stdout]     |
[INFO] [stdout] 142 |             let val_probs = fold_calibrator.predict_proba(&val_scores)?;
[INFO] [stdout]     |                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_val_probs`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/calibration.rs:145:18
[INFO] [stdout]     |
[INFO] [stdout] 145 |             for (i, &idx) in val_indices.iter().enumerate() {
[INFO] [stdout]     |                  ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `rng`
[INFO] [stdout]    --> src/calibration.rs:232:13
[INFO] [stdout]     |
[INFO] [stdout] 232 |         let rng = thread_rng();
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_rng`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data_files`
[INFO] [stdout]    --> src/chunked_processing.rs:137:23
[INFO] [stdout]     |
[INFO] [stdout] 137 |     pub fn from_files(data_files: Vec<PathBuf>, config: ChunkedProcessingConfig) -> Result<Self> {
[INFO] [stdout]     |                       ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_data_files`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `config`
[INFO] [stdout]    --> src/chunked_processing.rs:137:49
[INFO] [stdout]     |
[INFO] [stdout] 137 |     pub fn from_files(data_files: Vec<PathBuf>, config: ChunkedProcessingConfig) -> Result<Self> {
[INFO] [stdout]     |                                                 ^^^^^^ help: if this is intentional, prefix it with an underscore: `_config`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `updates_made` is assigned to, but never used
[INFO] [stdout]    --> src/chunked_processing.rs:468:17
[INFO] [stdout]     |
[INFO] [stdout] 468 |             let mut updates_made = 0;
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_updates_made` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `updates_made` is never read
[INFO] [stdout]    --> src/chunked_processing.rs:492:17
[INFO] [stdout]     |
[INFO] [stdout] 492 |                 updates_made += chunk_updates.n_updates;
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `tol`
[INFO] [stdout]    --> src/chunked_processing.rs:545:9
[INFO] [stdout]     |
[INFO] [stdout] 545 |         tol: Float,
[INFO] [stdout]     |         ^^^ help: if this is intentional, prefix it with an underscore: `_tol`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `radius`
[INFO] [stdout]    --> src/computer_vision_kernels.rs:275:9
[INFO] [stdout]     |
[INFO] [stdout] 275 |         radius: f64,
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_radius`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_matrix`
[INFO] [stdout]    --> src/decomposition.rs:261:13
[INFO] [stdout]     |
[INFO] [stdout] 261 |         let kernel_matrix = self.compute_cached_kernel_matrix(&ws_x, &working_set.indices);
[INFO] [stdout]     |             ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_matrix`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `smo_solver`
[INFO] [stdout]    --> src/decomposition.rs:272:13
[INFO] [stdout]     |
[INFO] [stdout] 272 |         let smo_solver = SmoSolver::new(smo_config, dummy_kernel);
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_smo_solver`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `updates_made` is assigned to, but never used
[INFO] [stdout]   --> src/dual_coordinate_ascent.rs:85:17
[INFO] [stdout]    |
[INFO] [stdout] 85 |             let mut updates_made = 0;
[INFO] [stdout]    |                 ^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: consider using `_updates_made` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `updates_made` is never read
[INFO] [stdout]    --> src/dual_coordinate_ascent.rs:117:17
[INFO] [stdout]     |
[INFO] [stdout] 117 |                 updates_made += 1;
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/gpu_kernels.rs:574:19
[INFO] [stdout]     |
[INFO] [stdout] 574 |         let (n_x, n_features) = x.dim();
[INFO] [stdout]     |                   ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cpu_result`
[INFO] [stdout]    --> src/gpu_kernels.rs:648:13
[INFO] [stdout]     |
[INFO] [stdout] 648 |         let cpu_result = cpu_kernel.compute_cpu_kernel_matrix(x, y);
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_cpu_result`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `laplacian`
[INFO] [stdout]    --> src/graph_semi_supervised.rs:310:13
[INFO] [stdout]     |
[INFO] [stdout] 310 |         let laplacian = self.compute_laplacian(graph);
[INFO] [stdout]     |             ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_laplacian`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `rng`
[INFO] [stdout]    --> src/linear_svc.rs:523:13
[INFO] [stdout]     |
[INFO] [stdout] 523 |         let rng = StdRng::seed_from_u64(42);
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_rng`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/linear_svc.rs:730:52
[INFO] [stdout]     |
[INFO] [stdout] 730 |     fn compute_sample_objective(&self, alpha: f64, y: f64, x: ArrayView1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                                    ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> src/linear_svc.rs:730:60
[INFO] [stdout]     |
[INFO] [stdout] 730 |     fn compute_sample_objective(&self, alpha: f64, y: f64, x: ArrayView1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                                            ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/linear_svc.rs:742:32
[INFO] [stdout]     |
[INFO] [stdout] 742 |     fn compute_gradient(&self, alpha: f64, y: f64, x: ArrayView1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> src/linear_svc.rs:742:52
[INFO] [stdout]     |
[INFO] [stdout] 742 |     fn compute_gradient(&self, alpha: f64, y: f64, x: ArrayView1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                                    ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `classes`
[INFO] [stdout]    --> src/metric_learning_svm.rs:267:9
[INFO] [stdout]     |
[INFO] [stdout] 267 |         classes: &Array1<f64>,
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_classes`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/metric_learning_svm.rs:369:14
[INFO] [stdout]     |
[INFO] [stdout] 369 |         let (n_samples, n_features) = x.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/metric_learning_svm.rs:796:14
[INFO] [stdout]     |
[INFO] [stdout] 796 |         let (n_samples, n_features) = x.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `coef0`
[INFO] [stdout]    --> src/multi_label_svm.rs:164:57
[INFO] [stdout]     |
[INFO] [stdout] 164 |                 crate::svc::SvcKernel::Sigmoid { gamma, coef0 } => {
[INFO] [stdout]     |                                                         ^^^^^ help: try ignoring the field: `coef0: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `coef0`
[INFO] [stdout]    --> src/multi_label_svm.rs:430:57
[INFO] [stdout]     |
[INFO] [stdout] 430 |                 crate::svc::SvcKernel::Sigmoid { gamma, coef0 } => {
[INFO] [stdout]     |                                                         ^^^^^ help: try ignoring the field: `coef0: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:231:46
[INFO] [stdout]     |
[INFO] [stdout] 231 |             OutlierDetectionMethod::ZScore { threshold } => self.compute_z_score_outliers(x, y),
[INFO] [stdout]     |                                              ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `multiplier`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:232:43
[INFO] [stdout]     |
[INFO] [stdout] 232 |             OutlierDetectionMethod::IQR { multiplier } => self.compute_iqr_outliers(x, y),
[INFO] [stdout]     |                                           ^^^^^^^^^^ help: try ignoring the field: `multiplier: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:233:54
[INFO] [stdout]     |
[INFO] [stdout] 233 |             OutlierDetectionMethod::ModifiedZScore { threshold } => {
[INFO] [stdout]     |                                                      ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:236:56
[INFO] [stdout]     |
[INFO] [stdout] 236 |             OutlierDetectionMethod::DistanceBased { k, threshold } => {
[INFO] [stdout]     |                                                        ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:239:61
[INFO] [stdout]     |
[INFO] [stdout] 239 |             OutlierDetectionMethod::LocalOutlierFactor { k, threshold } => {
[INFO] [stdout]     |                                                             ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:242:64
[INFO] [stdout]     |
[INFO] [stdout] 242 |             OutlierDetectionMethod::IsolationForest { n_trees, threshold } => {
[INFO] [stdout]     |                                                                ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:282:9
[INFO] [stdout]     |
[INFO] [stdout] 282 |         y: &Array1<Float>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:319:55
[INFO] [stdout]     |
[INFO] [stdout] 319 |     fn compute_iqr_outliers(&self, x: &Array2<Float>, y: &Array1<Float>) -> Array1<Float> {
[INFO] [stdout]     |                                                       ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `neighbor_idx`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:423:26
[INFO] [stdout]     |
[INFO] [stdout] 423 |                 for &(_, neighbor_idx) in distances[..k_actual].iter() {
[INFO] [stdout]     |                          ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_neighbor_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> src/parallel_smo.rs:365:9
[INFO] [stdout]     |
[INFO] [stdout] 365 |         x: Arc<Array2<Float>>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/parallel_smo.rs:366:9
[INFO] [stdout]     |
[INFO] [stdout] 366 |         y: Arc<Array1<Float>>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel`
[INFO] [stdout]    --> src/parallel_smo.rs:367:9
[INFO] [stdout]     |
[INFO] [stdout] 367 |         kernel: Arc<K>,
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/ranking_svm.rs:398:13
[INFO] [stdout]     |
[INFO] [stdout] 398 |         let y_train = Array1::<Float>::ones(n_samples);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `feature_means`
[INFO] [stdout]    --> src/regularization_path.rs:164:27
[INFO] [stdout]     |
[INFO] [stdout] 164 |         let (x_processed, feature_means, feature_stds) = if self.config.standardize {
[INFO] [stdout]     |                           ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_feature_means`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/sgd_svm.rs:306:55
[INFO] [stdout]     |
[INFO] [stdout] 306 |     fn compute_learning_rate(&self, iteration: usize, n_samples: usize) -> f64 {
[INFO] [stdout]     |                                                       ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `label_idx`
[INFO] [stdout]    --> src/structured_svm.rs:356:17
[INFO] [stdout]     |
[INFO] [stdout] 356 |             let label_idx = *label_to_idx.get(&label).unwrap();
[INFO] [stdout]     |                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_label_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/structured_svm.rs:414:13
[INFO] [stdout]     |
[INFO] [stdout] 414 |         let n_features = sequence.features.ncols();
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prev_label`
[INFO] [stdout]    --> src/structured_svm.rs:446:22
[INFO] [stdout]     |
[INFO] [stdout] 446 |                 for (prev_label, &prev_idx) in label_to_idx.iter() {
[INFO] [stdout]     |                      ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prev_label`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `label`
[INFO] [stdout]    --> src/structured_svm.rs:656:14
[INFO] [stdout]     |
[INFO] [stdout] 656 |         for (label, &label_idx) in label_to_idx.iter() {
[INFO] [stdout]     |              ^^^^^ help: if this is intentional, prefix it with an underscore: `_label`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `curr_label`
[INFO] [stdout]    --> src/structured_svm.rs:672:18
[INFO] [stdout]     |
[INFO] [stdout] 672 |             for (curr_label, &curr_idx) in label_to_idx.iter() {
[INFO] [stdout]     |                  ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_curr_label`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prev_label`
[INFO] [stdout]    --> src/structured_svm.rs:676:22
[INFO] [stdout]     |
[INFO] [stdout] 676 |                 for (prev_label, &prev_idx) in label_to_idx.iter() {
[INFO] [stdout]     |                      ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prev_label`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prev_kernel`
[INFO] [stdout]    --> src/text_classification.rs:337:17
[INFO] [stdout]     |
[INFO] [stdout] 337 |             let prev_kernel = self.compute_subsequence_kernel(s1, s2, length - 1);
[INFO] [stdout]     |                 ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prev_kernel`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `iteration`
[INFO] [stdout]    --> src/topic_model_integration.rs:199:13
[INFO] [stdout]     |
[INFO] [stdout] 199 |         for iteration in 0..self.max_iterations {
[INFO] [stdout]     |             ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/topic_model_integration.rs:275:9
[INFO] [stdout]     |
[INFO] [stdout] 275 |         alpha: f64,
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `l1_ratio`
[INFO] [stdout]    --> src/topic_model_integration.rs:276:9
[INFO] [stdout]     |
[INFO] [stdout] 276 |         l1_ratio: f64,
[INFO] [stdout]     |         ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_l1_ratio`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `eta`
[INFO] [stdout]    --> src/topic_model_integration.rs:339:9
[INFO] [stdout]     |
[INFO] [stdout] 339 |         eta: f64,
[INFO] [stdout]     |         ^^^ help: if this is intentional, prefix it with an underscore: `_eta`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `variance`
[INFO] [stdout]    --> src/topic_model_integration.rs:362:9
[INFO] [stdout]     |
[INFO] [stdout] 362 |         variance: f64,
[INFO] [stdout]     |         ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_variance`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/topic_model_integration.rs:648:9
[INFO] [stdout]     |
[INFO] [stdout] 648 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_transformed`
[INFO] [stdout]    --> src/topic_model_integration.rs:654:13
[INFO] [stdout]     |
[INFO] [stdout] 654 |         let x_transformed = if self.use_topic_features {
[INFO] [stdout]     |             ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_transformed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `plot_data`
[INFO] [stdout]    --> src/visualization.rs:846:43
[INFO] [stdout]     |
[INFO] [stdout] 846 |     pub fn create_interactive_html(&self, plot_data: &Plot2D, include_controls: bool) -> String {
[INFO] [stdout]     |                                           ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_plot_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing
[INFO] [stdout]    --> src/chunked_processing.rs:312:23
[INFO] [stdout]     |
[INFO] [stdout] 312 |     pub fn chunk_iter(&mut self) -> ChunkIterator {
[INFO] [stdout]     |                       ^^^^^^^^^     ^^^^^^^^^^^^^ the same lifetime is hidden here
[INFO] [stdout]     |                       |
[INFO] [stdout]     |                       the lifetime is elided here
[INFO] [stdout]     |
[INFO] [stdout]     = help: the same lifetime is referred to in inconsistent ways, making the signature confusing
[INFO] [stdout]     = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default
[INFO] [stdout] help: use `'_` for type paths
[INFO] [stdout]     |
[INFO] [stdout] 312 |     pub fn chunk_iter(&mut self) -> ChunkIterator<'_> {
[INFO] [stdout]     |                                                  ++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `incomplete-benchmarks`
[INFO] [stdout]   --> benches/kernel_benchmarks.rs:10:8
[INFO] [stdout]    |
[INFO] [stdout] 10 | #![cfg(feature = "incomplete-benchmarks")]
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `bytemuck`, `default`, `futures-intrusive`, `gpu`, `parallel`, `rayon`, `serde`, `serde_json`, `std`, `tokio`, `visualization`, and `wgpu`
[INFO] [stdout]    = help: consider adding `incomplete-benchmarks` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]    = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `incomplete-benchmarks`
[INFO] [stdout]   --> benches/memory_profiling.rs:10:8
[INFO] [stdout]    |
[INFO] [stdout] 10 | #![cfg(feature = "incomplete-benchmarks")]
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `bytemuck`, `default`, `futures-intrusive`, `gpu`, `parallel`, `rayon`, `serde`, `serde_json`, `std`, `tokio`, `visualization`, and `wgpu`
[INFO] [stdout]    = help: consider adding `incomplete-benchmarks` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]    = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `incomplete-benchmarks`
[INFO] [stdout]   --> benches/svm_performance.rs:10:8
[INFO] [stdout]    |
[INFO] [stdout] 10 | #![cfg(feature = "incomplete-benchmarks")]
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `bytemuck`, `default`, `futures-intrusive`, `gpu`, `parallel`, `rayon`, `serde`, `serde_json`, `std`, `tokio`, `visualization`, and `wgpu`
[INFO] [stdout]    = help: consider adding `incomplete-benchmarks` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]    = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `custom_kernels`
[INFO] [stdout]  --> tests/custom_kernel_test.rs:5:7
[INFO] [stdout]   |
[INFO] [stdout] 5 | #[cfg(feature = "custom_kernels")] // Feature doesn't exist yet
[INFO] [stdout]   |       ^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: expected values for `feature` are: `bytemuck`, `default`, `futures-intrusive`, `gpu`, `parallel`, `rayon`, `serde`, `serde_json`, `std`, `tokio`, `visualization`, and `wgpu`
[INFO] [stdout]   = help: consider adding `custom_kernels` as a feature in `Cargo.toml`
[INFO] [stdout]   = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]   = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_class_var` should have a snake case name
[INFO] [stdout]   --> examples/linear_svm_demo.rs:22:9
[INFO] [stdout]    |
[INFO] [stdout] 22 |     let X_class_var = array![
[INFO] [stdout]    |         ^^^^^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_class_var`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_multi_var` should have a snake case name
[INFO] [stdout]   --> examples/linear_svm_demo.rs:73:9
[INFO] [stdout]    |
[INFO] [stdout] 73 |     let X_multi_var = array![
[INFO] [stdout]    |         ^^^^^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_multi_var`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_reg_var` should have a snake case name
[INFO] [stdout]    --> examples/linear_svm_demo.rs:112:9
[INFO] [stdout]     |
[INFO] [stdout] 112 |     let X_reg_var = array![
[INFO] [stdout]     |         ^^^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_reg_var`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `sklears_core::traits::Fit`
[INFO] [stdout]    --> src/adaptive_regularization.rs:212:13
[INFO] [stdout]     |
[INFO] [stdout] 212 |         use sklears_core::traits::Fit;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `sklears_core::traits::Predict`
[INFO] [stdout]    --> src/adaptive_regularization.rs:564:13
[INFO] [stdout]     |
[INFO] [stdout] 564 |         use sklears_core::traits::Predict;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs2::prelude`
[INFO] [stdout]    --> src/multi_label_svm.rs:894:9
[INFO] [stdout]     |
[INFO] [stdout] 894 |     use numrs2::prelude::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::Rng`
[INFO] [stdout]   --> src/outlier_resistant_svm.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 11 | use scirs2_core::Rng;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/adaptive_regularization.rs:186:25
[INFO] [stdout]     |
[INFO] [stdout] 186 |         let (n_samples, n_features) = x.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `acquisition_function`
[INFO] [stdout]    --> src/adaptive_regularization.rs:366:9
[INFO] [stdout]     |
[INFO] [stdout] 366 |         acquisition_function: &AcquisitionFunction,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_acquisition_function`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `best_score` is never read
[INFO] [stdout]    --> src/adaptive_regularization.rs:370:30
[INFO] [stdout]     |
[INFO] [stdout] 370 |         let mut best_score = f64::NEG_INFINITY;
[INFO] [stdout]     |                              ^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `val_probs`
[INFO] [stdout]    --> src/calibration.rs:142:17
[INFO] [stdout]     |
[INFO] [stdout] 142 |             let val_probs = fold_calibrator.predict_proba(&val_scores)?;
[INFO] [stdout]     |                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_val_probs`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/calibration.rs:145:18
[INFO] [stdout]     |
[INFO] [stdout] 145 |             for (i, &idx) in val_indices.iter().enumerate() {
[INFO] [stdout]     |                  ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `rng`
[INFO] [stdout]    --> src/calibration.rs:232:13
[INFO] [stdout]     |
[INFO] [stdout] 232 |         let rng = thread_rng();
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_rng`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data_files`
[INFO] [stdout]    --> src/chunked_processing.rs:137:23
[INFO] [stdout]     |
[INFO] [stdout] 137 |     pub fn from_files(data_files: Vec<PathBuf>, config: ChunkedProcessingConfig) -> Result<Self> {
[INFO] [stdout]     |                       ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_data_files`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `config`
[INFO] [stdout]    --> src/chunked_processing.rs:137:49
[INFO] [stdout]     |
[INFO] [stdout] 137 |     pub fn from_files(data_files: Vec<PathBuf>, config: ChunkedProcessingConfig) -> Result<Self> {
[INFO] [stdout]     |                                                 ^^^^^^ help: if this is intentional, prefix it with an underscore: `_config`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `updates_made` is assigned to, but never used
[INFO] [stdout]    --> src/chunked_processing.rs:468:17
[INFO] [stdout]     |
[INFO] [stdout] 468 |             let mut updates_made = 0;
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_updates_made` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `updates_made` is never read
[INFO] [stdout]    --> src/chunked_processing.rs:492:17
[INFO] [stdout]     |
[INFO] [stdout] 492 |                 updates_made += chunk_updates.n_updates;
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `tol`
[INFO] [stdout]    --> src/chunked_processing.rs:545:9
[INFO] [stdout]     |
[INFO] [stdout] 545 |         tol: Float,
[INFO] [stdout]     |         ^^^ help: if this is intentional, prefix it with an underscore: `_tol`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `chunk_id`
[INFO] [stdout]    --> src/chunked_processing.rs:694:18
[INFO] [stdout]     |
[INFO] [stdout] 694 |             let (chunk_id, chunk_x, chunk_y) = chunk_result.unwrap();
[INFO] [stdout]     |                  ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_chunk_id`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `radius`
[INFO] [stdout]    --> src/computer_vision_kernels.rs:275:9
[INFO] [stdout]     |
[INFO] [stdout] 275 |         radius: f64,
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_radius`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_matrix`
[INFO] [stdout]    --> src/decomposition.rs:261:13
[INFO] [stdout]     |
[INFO] [stdout] 261 |         let kernel_matrix = self.compute_cached_kernel_matrix(&ws_x, &working_set.indices);
[INFO] [stdout]     |             ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_matrix`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `smo_solver`
[INFO] [stdout]    --> src/decomposition.rs:272:13
[INFO] [stdout]     |
[INFO] [stdout] 272 |         let smo_solver = SmoSolver::new(smo_config, dummy_kernel);
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_smo_solver`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `updates_made` is assigned to, but never used
[INFO] [stdout]   --> src/dual_coordinate_ascent.rs:85:17
[INFO] [stdout]    |
[INFO] [stdout] 85 |             let mut updates_made = 0;
[INFO] [stdout]    |                 ^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: consider using `_updates_made` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `updates_made` is never read
[INFO] [stdout]    --> src/dual_coordinate_ascent.rs:117:17
[INFO] [stdout]     |
[INFO] [stdout] 117 |                 updates_made += 1;
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/gpu_kernels.rs:574:19
[INFO] [stdout]     |
[INFO] [stdout] 574 |         let (n_x, n_features) = x.dim();
[INFO] [stdout]     |                   ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cpu_result`
[INFO] [stdout]    --> src/gpu_kernels.rs:648:13
[INFO] [stdout]     |
[INFO] [stdout] 648 |         let cpu_result = cpu_kernel.compute_cpu_kernel_matrix(x, y);
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_cpu_result`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `laplacian`
[INFO] [stdout]    --> src/graph_semi_supervised.rs:310:13
[INFO] [stdout]     |
[INFO] [stdout] 310 |         let laplacian = self.compute_laplacian(graph);
[INFO] [stdout]     |             ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_laplacian`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `rng`
[INFO] [stdout]    --> src/linear_svc.rs:523:13
[INFO] [stdout]     |
[INFO] [stdout] 523 |         let rng = StdRng::seed_from_u64(42);
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_rng`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/linear_svc.rs:730:52
[INFO] [stdout]     |
[INFO] [stdout] 730 |     fn compute_sample_objective(&self, alpha: f64, y: f64, x: ArrayView1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                                    ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> src/linear_svc.rs:730:60
[INFO] [stdout]     |
[INFO] [stdout] 730 |     fn compute_sample_objective(&self, alpha: f64, y: f64, x: ArrayView1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                                            ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/linear_svc.rs:742:32
[INFO] [stdout]     |
[INFO] [stdout] 742 |     fn compute_gradient(&self, alpha: f64, y: f64, x: ArrayView1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> src/linear_svc.rs:742:52
[INFO] [stdout]     |
[INFO] [stdout] 742 |     fn compute_gradient(&self, alpha: f64, y: f64, x: ArrayView1<f64>) -> Result<f64> {
[INFO] [stdout]     |                                                    ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `classes`
[INFO] [stdout]    --> src/metric_learning_svm.rs:267:9
[INFO] [stdout]     |
[INFO] [stdout] 267 |         classes: &Array1<f64>,
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_classes`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/metric_learning_svm.rs:369:14
[INFO] [stdout]     |
[INFO] [stdout] 369 |         let (n_samples, n_features) = x.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/metric_learning_svm.rs:796:14
[INFO] [stdout]     |
[INFO] [stdout] 796 |         let (n_samples, n_features) = x.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `coef0`
[INFO] [stdout]    --> src/multi_label_svm.rs:164:57
[INFO] [stdout]     |
[INFO] [stdout] 164 |                 crate::svc::SvcKernel::Sigmoid { gamma, coef0 } => {
[INFO] [stdout]     |                                                         ^^^^^ help: try ignoring the field: `coef0: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `coef0`
[INFO] [stdout]    --> src/multi_label_svm.rs:430:57
[INFO] [stdout]     |
[INFO] [stdout] 430 |                 crate::svc::SvcKernel::Sigmoid { gamma, coef0 } => {
[INFO] [stdout]     |                                                         ^^^^^ help: try ignoring the field: `coef0: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:231:46
[INFO] [stdout]     |
[INFO] [stdout] 231 |             OutlierDetectionMethod::ZScore { threshold } => self.compute_z_score_outliers(x, y),
[INFO] [stdout]     |                                              ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `multiplier`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:232:43
[INFO] [stdout]     |
[INFO] [stdout] 232 |             OutlierDetectionMethod::IQR { multiplier } => self.compute_iqr_outliers(x, y),
[INFO] [stdout]     |                                           ^^^^^^^^^^ help: try ignoring the field: `multiplier: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:233:54
[INFO] [stdout]     |
[INFO] [stdout] 233 |             OutlierDetectionMethod::ModifiedZScore { threshold } => {
[INFO] [stdout]     |                                                      ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:236:56
[INFO] [stdout]     |
[INFO] [stdout] 236 |             OutlierDetectionMethod::DistanceBased { k, threshold } => {
[INFO] [stdout]     |                                                        ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:239:61
[INFO] [stdout]     |
[INFO] [stdout] 239 |             OutlierDetectionMethod::LocalOutlierFactor { k, threshold } => {
[INFO] [stdout]     |                                                             ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `threshold`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:242:64
[INFO] [stdout]     |
[INFO] [stdout] 242 |             OutlierDetectionMethod::IsolationForest { n_trees, threshold } => {
[INFO] [stdout]     |                                                                ^^^^^^^^^ help: try ignoring the field: `threshold: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:282:9
[INFO] [stdout]     |
[INFO] [stdout] 282 |         y: &Array1<Float>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:319:55
[INFO] [stdout]     |
[INFO] [stdout] 319 |     fn compute_iqr_outliers(&self, x: &Array2<Float>, y: &Array1<Float>) -> Array1<Float> {
[INFO] [stdout]     |                                                       ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `neighbor_idx`
[INFO] [stdout]    --> src/outlier_resistant_svm.rs:423:26
[INFO] [stdout]     |
[INFO] [stdout] 423 |                 for &(_, neighbor_idx) in distances[..k_actual].iter() {
[INFO] [stdout]     |                          ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_neighbor_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> src/parallel_smo.rs:365:9
[INFO] [stdout]     |
[INFO] [stdout] 365 |         x: Arc<Array2<Float>>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/parallel_smo.rs:366:9
[INFO] [stdout]     |
[INFO] [stdout] 366 |         y: Arc<Array1<Float>>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel`
[INFO] [stdout]    --> src/parallel_smo.rs:367:9
[INFO] [stdout]     |
[INFO] [stdout] 367 |         kernel: Arc<K>,
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_train`
[INFO] [stdout]    --> src/ranking_svm.rs:398:13
[INFO] [stdout]     |
[INFO] [stdout] 398 |         let y_train = Array1::<Float>::ones(n_samples);
[INFO] [stdout]     |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `feature_means`
[INFO] [stdout]    --> src/regularization_path.rs:164:27
[INFO] [stdout]     |
[INFO] [stdout] 164 |         let (x_processed, feature_means, feature_stds) = if self.config.standardize {
[INFO] [stdout]     |                           ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_feature_means`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `stds`
[INFO] [stdout]     --> src/regularization_path.rs:1127:28
[INFO] [stdout]      |
[INFO] [stdout] 1127 |         let (x_std, means, stds) = solver.standardize_features(&x).unwrap();
[INFO] [stdout]      |                            ^^^^ help: if this is intentional, prefix it with an underscore: `_stds`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/sgd_svm.rs:306:55
[INFO] [stdout]     |
[INFO] [stdout] 306 |     fn compute_learning_rate(&self, iteration: usize, n_samples: usize) -> f64 {
[INFO] [stdout]     |                                                       ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `label_idx`
[INFO] [stdout]    --> src/structured_svm.rs:356:17
[INFO] [stdout]     |
[INFO] [stdout] 356 |             let label_idx = *label_to_idx.get(&label).unwrap();
[INFO] [stdout]     |                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_label_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/structured_svm.rs:414:13
[INFO] [stdout]     |
[INFO] [stdout] 414 |         let n_features = sequence.features.ncols();
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prev_label`
[INFO] [stdout]    --> src/structured_svm.rs:446:22
[INFO] [stdout]     |
[INFO] [stdout] 446 |                 for (prev_label, &prev_idx) in label_to_idx.iter() {
[INFO] [stdout]     |                      ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prev_label`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `label`
[INFO] [stdout]    --> src/structured_svm.rs:656:14
[INFO] [stdout]     |
[INFO] [stdout] 656 |         for (label, &label_idx) in label_to_idx.iter() {
[INFO] [stdout]     |              ^^^^^ help: if this is intentional, prefix it with an underscore: `_label`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `curr_label`
[INFO] [stdout]    --> src/structured_svm.rs:672:18
[INFO] [stdout]     |
[INFO] [stdout] 672 |             for (curr_label, &curr_idx) in label_to_idx.iter() {
[INFO] [stdout]     |                  ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_curr_label`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prev_label`
[INFO] [stdout]    --> src/structured_svm.rs:676:22
[INFO] [stdout]     |
[INFO] [stdout] 676 |                 for (prev_label, &prev_idx) in label_to_idx.iter() {
[INFO] [stdout]     |                      ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prev_label`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prev_kernel`
[INFO] [stdout]    --> src/text_classification.rs:337:17
[INFO] [stdout]     |
[INFO] [stdout] 337 |             let prev_kernel = self.compute_subsequence_kernel(s1, s2, length - 1);
[INFO] [stdout]     |                 ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prev_kernel`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `iteration`
[INFO] [stdout]    --> src/topic_model_integration.rs:199:13
[INFO] [stdout]     |
[INFO] [stdout] 199 |         for iteration in 0..self.max_iterations {
[INFO] [stdout]     |             ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `alpha`
[INFO] [stdout]    --> src/topic_model_integration.rs:275:9
[INFO] [stdout]     |
[INFO] [stdout] 275 |         alpha: f64,
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `l1_ratio`
[INFO] [stdout]    --> src/topic_model_integration.rs:276:9
[INFO] [stdout]     |
[INFO] [stdout] 276 |         l1_ratio: f64,
[INFO] [stdout]     |         ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_l1_ratio`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `eta`
[INFO] [stdout]    --> src/topic_model_integration.rs:339:9
[INFO] [stdout]     |
[INFO] [stdout] 339 |         eta: f64,
[INFO] [stdout]     |         ^^^ help: if this is intentional, prefix it with an underscore: `_eta`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `variance`
[INFO] [stdout]    --> src/topic_model_integration.rs:362:9
[INFO] [stdout]     |
[INFO] [stdout] 362 |         variance: f64,
[INFO] [stdout]     |         ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_variance`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/topic_model_integration.rs:648:9
[INFO] [stdout]     |
[INFO] [stdout] 648 |         y: &Array1<f64>,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_transformed`
[INFO] [stdout]    --> src/topic_model_integration.rs:654:13
[INFO] [stdout]     |
[INFO] [stdout] 654 |         let x_transformed = if self.use_topic_features {
[INFO] [stdout]     |             ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_transformed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `plot_data`
[INFO] [stdout]    --> src/visualization.rs:846:43
[INFO] [stdout]     |
[INFO] [stdout] 846 |     pub fn create_interactive_html(&self, plot_data: &Plot2D, include_controls: bool) -> String {
[INFO] [stdout]     |                                           ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_plot_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing
[INFO] [stdout]    --> src/chunked_processing.rs:312:23
[INFO] [stdout]     |
[INFO] [stdout] 312 |     pub fn chunk_iter(&mut self) -> ChunkIterator {
[INFO] [stdout]     |                       ^^^^^^^^^     ^^^^^^^^^^^^^ the same lifetime is hidden here
[INFO] [stdout]     |                       |
[INFO] [stdout]     |                       the lifetime is elided here
[INFO] [stdout]     |
[INFO] [stdout]     = help: the same lifetime is referred to in inconsistent ways, making the signature confusing
[INFO] [stdout]     = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default
[INFO] [stdout] help: use `'_` for type paths
[INFO] [stdout]     |
[INFO] [stdout] 312 |     pub fn chunk_iter(&mut self) -> ChunkIterator<'_> {
[INFO] [stdout]     |                                                  ++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: comparison is useless due to type limits
[INFO] [stdout]     --> src/time_series.rs:1041:17
[INFO] [stdout]      |
[INFO] [stdout] 1041 |         assert!(motifs.len() >= 0); // May or may not find motifs depending on threshold
[INFO] [stdout]      |                 ^^^^^^^^^^^^^^^^^
[INFO] [stdout]      |
[INFO] [stdout]      = note: `#[warn(unused_comparisons)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 2m 25s
[INFO] running `Command { std: "docker" "inspect" "87edf5f0d6c0e6723ea764866a12cce516cd7d77d44efc161291eac7d7aa34fe", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "87edf5f0d6c0e6723ea764866a12cce516cd7d77d44efc161291eac7d7aa34fe", kill_on_drop: false }`
[INFO] [stdout] 87edf5f0d6c0e6723ea764866a12cce516cd7d77d44efc161291eac7d7aa34fe
