[INFO] fetching crate sklears-calibration 0.1.0-alpha.1... [INFO] checking sklears-calibration-0.1.0-alpha.1 against try#9cbe924c1a7ad92a8d63366fe967735898f13b4d for pr-149195-2 [INFO] extracting crate sklears-calibration 0.1.0-alpha.1 into /workspace/builds/worker-6-tc2/source [INFO] started tweaking crates.io crate sklears-calibration 0.1.0-alpha.1 [INFO] finished tweaking crates.io crate sklears-calibration 0.1.0-alpha.1 [INFO] tweaked toml for crates.io crate sklears-calibration 0.1.0-alpha.1 written to /workspace/builds/worker-6-tc2/source/Cargo.toml [INFO] validating manifest of crates.io crate sklears-calibration 0.1.0-alpha.1 on toolchain 9cbe924c1a7ad92a8d63366fe967735898f13b4d [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+9cbe924c1a7ad92a8d63366fe967735898f13b4d" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate crates.io crate sklears-calibration 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" "+9cbe924c1a7ad92a8d63366fe967735898f13b4d" "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@sha256:94a0c148923f5b2b52a63ef0eeb1882ad339ab61bce784c8077cbe41c61feb6c" "/opt/rustwide/cargo-home/bin/cargo" "+9cbe924c1a7ad92a8d63366fe967735898f13b4d" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 5fd675dcbc6287ecfb780883ceb89849203988a405988b7b9a095cdc979fae38 [INFO] running `Command { std: "docker" "start" "-a" "5fd675dcbc6287ecfb780883ceb89849203988a405988b7b9a095cdc979fae38", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "5fd675dcbc6287ecfb780883ceb89849203988a405988b7b9a095cdc979fae38", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "5fd675dcbc6287ecfb780883ceb89849203988a405988b7b9a095cdc979fae38", kill_on_drop: false }` [INFO] [stdout] 5fd675dcbc6287ecfb780883ceb89849203988a405988b7b9a095cdc979fae38 [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=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" "+9cbe924c1a7ad92a8d63366fe967735898f13b4d" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] b8c87445f1717ce529d72066f0f0f27e734adcdd1830f97a86bfcf92d32ec15c [INFO] running `Command { std: "docker" "start" "-a" "b8c87445f1717ce529d72066f0f0f27e734adcdd1830f97a86bfcf92d32ec15c", kill_on_drop: false }` [INFO] [stderr] Compiling libc v0.2.176 [INFO] [stderr] Compiling proc-macro2 v1.0.101 [INFO] [stderr] Checking cfg-if v1.0.3 [INFO] [stderr] Compiling quote v1.0.41 [INFO] [stderr] Compiling unicode-ident v1.0.19 [INFO] [stderr] Compiling autocfg v1.5.0 [INFO] [stderr] Compiling libm v0.2.15 [INFO] [stderr] Compiling serde_core v1.0.228 [INFO] [stderr] Compiling serde v1.0.228 [INFO] [stderr] Compiling zerocopy v0.8.27 [INFO] [stderr] Compiling typenum v1.18.0 [INFO] [stderr] Compiling crossbeam-utils v0.8.21 [INFO] [stderr] Compiling getrandom v0.3.3 [INFO] [stderr] Checking memchr v2.7.6 [INFO] [stderr] Compiling version_check v0.9.5 [INFO] [stderr] Compiling paste v1.0.15 [INFO] [stderr] Checking rawpointer v0.2.1 [INFO] [stderr] Compiling rayon-core v1.13.0 [INFO] [stderr] Checking either v1.15.0 [INFO] [stderr] Checking bytemuck v1.23.2 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[stderr] Checking uuid v1.18.1 [INFO] [stderr] Checking bincode v2.0.1 [INFO] [stderr] Checking csv v1.3.1 [INFO] [stderr] Checking serde-pickle v1.2.0 [INFO] [stderr] Checking tinytemplate v1.2.1 [INFO] [stderr] Checking ciborium-ll v0.2.2 [INFO] [stderr] Checking zstd v0.13.3 [INFO] [stderr] Checking ciborium v0.2.2 [INFO] [stderr] Checking zip v5.1.1 [INFO] [stderr] Checking ndarray v0.16.1 [INFO] [stderr] Checking cauchy v0.4.0 [INFO] [stderr] Checking simba v0.9.1 [INFO] [stderr] Checking simba v0.7.3 [INFO] [stderr] Checking argmin-math v0.5.1 [INFO] [stderr] Checking special v0.11.4 [INFO] [stderr] Checking lax v0.17.0 [INFO] [stderr] Checking argmin v0.11.0 [INFO] [stderr] Checking criterion v0.5.1 [INFO] [stderr] Checking ndarray-linalg v0.17.0 [INFO] [stderr] Checking ndarray-rand v0.15.0 [INFO] [stderr] Checking sprs v0.11.3 [INFO] [stderr] Checking nalgebra v0.30.1 [INFO] [stderr] Checking nalgebra v0.33.2 [INFO] [stderr] Checking statrs v0.18.0 [INFO] [stderr] Checking friedrich v0.5.0 [INFO] [stderr] Checking scirs2-linalg v0.1.0-rc.1 [INFO] [stderr] Checking scirs2-sparse v0.1.0-rc.1 [INFO] [stderr] Checking scirs2-stats v0.1.0-rc.1 [INFO] [stderr] Checking scirs2-optimize v0.1.0-rc.1 [INFO] [stderr] Checking numrs2 v0.1.0-beta.3 [INFO] [stderr] Checking sklears-core v0.1.0-alpha.1 [INFO] [stderr] Checking sklears-calibration v0.1.0-alpha.1 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused doc comment [INFO] [stdout] --> src/modular_framework.rs:561:9 [INFO] [stdout] | [INFO] [stdout] 561 | /// ExecutionSummary [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] 562 | / ExecutionSummary { [INFO] [stdout] 563 | | total_steps: self.execution_history.len(), [INFO] [stdout] 564 | | successful_steps, [INFO] [stdout] 565 | | failed_steps, [INFO] [stdout] 566 | | total_execution_time_ms: total_time, [INFO] [stdout] 567 | | steps: self.execution_history.clone(), [INFO] [stdout] 568 | | } [INFO] [stdout] | |_________- rustdoc does not generate documentation for expressions [INFO] [stdout] | [INFO] [stdout] = help: use `//` for a plain comment [INFO] [stdout] = note: `#[warn(unused_doc_comments)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused doc comment [INFO] [stdout] --> src/modular_framework.rs:561:9 [INFO] [stdout] | [INFO] [stdout] 561 | /// ExecutionSummary [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] 562 | / ExecutionSummary { [INFO] [stdout] 563 | | total_steps: self.execution_history.len(), [INFO] [stdout] 564 | | successful_steps, [INFO] [stdout] 565 | | failed_steps, [INFO] [stdout] 566 | | total_execution_time_ms: total_time, [INFO] [stdout] 567 | | steps: self.execution_history.clone(), [INFO] [stdout] 568 | | } [INFO] [stdout] | |_________- rustdoc does not generate documentation for expressions [INFO] [stdout] | [INFO] [stdout] = help: use `//` for a plain comment [INFO] [stdout] = note: `#[warn(unused_doc_comments)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `CalibrationEstimator` [INFO] [stdout] --> src/statistical_tests.rs:13:29 [INFO] [stdout] | [INFO] [stdout] 13 | CalibratedClassifierCV, CalibrationEstimator, CalibrationMethod, [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: `rayon::prelude` [INFO] [stdout] --> src/performance.rs:747:13 [INFO] [stdout] | [INFO] [stdout] 747 | use rayon::prelude::*; [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/metrics.rs:154:10 [INFO] [stdout] | [INFO] [stdout] 154 | for (i, (&prob, &true_label)) in y_prob.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `true_label` [INFO] [stdout] --> src/metrics.rs:154:22 [INFO] [stdout] | [INFO] [stdout] 154 | for (i, (&prob, &true_label)) in y_prob.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_true_label` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/metrics.rs:469:10 [INFO] [stdout] | [INFO] [stdout] 469 | for (i, (&prob, &true_label)) in y_prob.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `classes` [INFO] [stdout] --> src/binary.rs:384:5 [INFO] [stdout] | [INFO] [stdout] 384 | classes: &[i32], [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_classes` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/histogram.rs:61:14 [INFO] [stdout] | [INFO] [stdout] 61 | for (i, (&prob, &label)) in probabilities.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_classes` [INFO] [stdout] --> src/multiclass.rs:202:25 [INFO] [stdout] | [INFO] [stdout] 202 | let (n_samples, n_classes) = probabilities.dim(); [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_classes` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `total_loss` is assigned to, but never used [INFO] [stdout] --> src/multiclass.rs:364:17 [INFO] [stdout] | [INFO] [stdout] 364 | let mut total_loss = 0.0; [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: consider using `_total_loss` instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `total_loss` is never read [INFO] [stdout] --> src/multiclass.rs:383:21 [INFO] [stdout] | [INFO] [stdout] 383 | total_loss -= probs[true_class].ln(); [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: `var_residual` [INFO] [stdout] --> src/beta.rs:59:13 [INFO] [stdout] | [INFO] [stdout] 59 | let var_residual = { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_var_residual` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `training_probabilities` [INFO] [stdout] --> src/local.rs:110:13 [INFO] [stdout] | [INFO] [stdout] 110 | let training_probabilities = [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_training_probabilities` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `original_params` [INFO] [stdout] --> src/gaussian_process.rs:353:13 [INFO] [stdout] | [INFO] [stdout] 353 | let original_params = self.kernel_params.clone(); [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_original_params` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/visualization.rs:133:10 [INFO] [stdout] | [INFO] [stdout] 133 | for (i, (&prob, &label)) in y_prob.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `loo_predictions` [INFO] [stdout] --> src/conformal.rs:539:13 [INFO] [stdout] | [INFO] [stdout] 539 | let loo_predictions = Array1::from(loo_pred); [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_loo_predictions` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `loo_targets` [INFO] [stdout] --> src/conformal.rs:540:13 [INFO] [stdout] | [INFO] [stdout] 540 | let loo_targets = Array1::from(loo_targ); [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_loo_targets` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `config` [INFO] [stdout] --> src/statistical_tests.rs:442:5 [INFO] [stdout] | [INFO] [stdout] 442 | config: &StatisticalTestConfig, [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_config` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `prev_x` is never read [INFO] [stdout] --> src/numerical_stability.rs:237:26 [INFO] [stdout] | [INFO] [stdout] 237 | let mut prev_x = x; [INFO] [stdout] | ^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/prediction_intervals.rs:248:13 [INFO] [stdout] | [INFO] [stdout] 248 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_neighbors` [INFO] [stdout] --> src/prediction_intervals.rs:278:9 [INFO] [stdout] | [INFO] [stdout] 278 | n_neighbors: usize, [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_neighbors` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/uncertainty_estimation.rs:216:13 [INFO] [stdout] | [INFO] [stdout] 216 | let rng_instance = if let Some(seed) = self.config.random_seed { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seed` [INFO] [stdout] --> src/uncertainty_estimation.rs:216:40 [INFO] [stdout] | [INFO] [stdout] 216 | let rng_instance = if let Some(seed) = self.config.random_seed { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_seed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `posterior_precision` [INFO] [stdout] --> src/uncertainty_estimation.rs:336:13 [INFO] [stdout] | [INFO] [stdout] 336 | let posterior_precision = &xt_x + prior_precision * Array2::eye(2); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_posterior_precision` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_samples` [INFO] [stdout] --> src/higher_order_uncertainty.rs:156:13 [INFO] [stdout] | [INFO] [stdout] 156 | let n_samples = probabilities.len(); [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `prob` [INFO] [stdout] --> src/higher_order_uncertainty.rs:492:22 [INFO] [stdout] | [INFO] [stdout] 492 | for (i, &prob) in probabilities.iter().enumerate() { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_prob` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `alpha` [INFO] [stdout] --> src/higher_order_uncertainty.rs:758:13 [INFO] [stdout] | [INFO] [stdout] 758 | let alpha = 1.0 - self.config.confidence_level; [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/bayesian.rs:77:14 [INFO] [stdout] | [INFO] [stdout] 77 | for (i, (&prob, &y)) in probabilities.iter().zip(y_true.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_instance` [INFO] [stdout] --> src/bayesian.rs:212:13 [INFO] [stdout] | [INFO] [stdout] 212 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/bayesian.rs:241:14 [INFO] [stdout] | [INFO] [stdout] 241 | for (i, (&prob, &y)) in probabilities.iter().zip(y_true.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_instance` [INFO] [stdout] --> src/bayesian.rs:276:13 [INFO] [stdout] | [INFO] [stdout] 276 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/bayesian.rs:410:14 [INFO] [stdout] | [INFO] [stdout] 410 | for (i, (&prob, &y)) in probabilities.iter().zip(y_true.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_instance` [INFO] [stdout] --> src/bayesian.rs:433:13 [INFO] [stdout] | [INFO] [stdout] 433 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/bayesian.rs:845:13 [INFO] [stdout] | [INFO] [stdout] 845 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/bayesian.rs:877:13 [INFO] [stdout] | [INFO] [stdout] 877 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/bayesian.rs:1165:13 [INFO] [stdout] | [INFO] [stdout] 1165 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/bayesian.rs:1205:13 [INFO] [stdout] | [INFO] [stdout] 1205 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `weights` [INFO] [stdout] --> src/domain_specific.rs:138:17 [INFO] [stdout] | [INFO] [stdout] 138 | let weights = self.compute_temporal_weights(window_probs.len()); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/neural_calibration.rs:99:13 [INFO] [stdout] | [INFO] [stdout] 99 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `limit` [INFO] [stdout] --> src/neural_calibration.rs:115:17 [INFO] [stdout] | [INFO] [stdout] 115 | let limit = (6.0 / (input_size + output_size) as Float).sqrt(); [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_limit` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `next_activation` [INFO] [stdout] --> src/neural_calibration.rs:199:17 [INFO] [stdout] | [INFO] [stdout] 199 | let next_activation = &activations[i + 1]; [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_next_activation` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/neural_calibration.rs:347:13 [INFO] [stdout] | [INFO] [stdout] 347 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n` [INFO] [stdout] --> src/neural_calibration.rs:348:13 [INFO] [stdout] | [INFO] [stdout] 348 | let n = probabilities.len(); [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/neural_calibration.rs:463:13 [INFO] [stdout] | [INFO] [stdout] 463 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/neural_calibration.rs:504:21 [INFO] [stdout] | [INFO] [stdout] 504 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `noise` [INFO] [stdout] --> src/neural_calibration.rs:505:21 [INFO] [stdout] | [INFO] [stdout] 505 | let noise = 0; [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_noise` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `offline_calibrator` [INFO] [stdout] --> src/streaming.rs:114:13 [INFO] [stdout] | [INFO] [stdout] 114 | let offline_calibrator = SigmoidCalibrator::new().fit(probabilities, y_true)?; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_offline_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_features` [INFO] [stdout] --> src/calibration_aware_training.rs:104:13 [INFO] [stdout] | [INFO] [stdout] 104 | let n_features = x_train.ncols(); [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/high_precision.rs:159:14 [INFO] [stdout] | [INFO] [stdout] 159 | for (i, (&p_i, &q_i)) in p.iter().zip(q.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `is_negative` [INFO] [stdout] --> src/ultra_precision.rs:39:13 [INFO] [stdout] | [INFO] [stdout] 39 | let is_negative = value < 0.0; [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_is_negative` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `term` is never read [INFO] [stdout] --> src/ultra_precision.rs:670:24 [INFO] [stdout] | [INFO] [stdout] 670 | let mut term = Self::one(precision); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:239:9 [INFO] [stdout] | [INFO] [stdout] 239 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:283:9 [INFO] [stdout] | [INFO] [stdout] 283 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:316:9 [INFO] [stdout] | [INFO] [stdout] 316 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:348:9 [INFO] [stdout] | [INFO] [stdout] 348 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:379:9 [INFO] [stdout] | [INFO] [stdout] 379 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:410:9 [INFO] [stdout] | [INFO] [stdout] 410 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:441:9 [INFO] [stdout] | [INFO] [stdout] 441 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:472:9 [INFO] [stdout] | [INFO] [stdout] 472 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `method_name` [INFO] [stdout] --> src/theoretical_validation.rs:531:45 [INFO] [stdout] | [INFO] [stdout] 531 | fn verify_convergence_conditions(&self, method_name: &str) -> Result { [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_method_name` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `method_name` [INFO] [stdout] --> src/theoretical_validation.rs:615:46 [INFO] [stdout] | [INFO] [stdout] 615 | fn verify_statistical_consistency(&self, method_name: &str) -> Result { [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_method_name` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `y_true` [INFO] [stdout] --> src/multi_modal.rs:75:9 [INFO] [stdout] | [INFO] [stdout] 75 | y_true: &Array1, [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_true` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/multi_modal.rs:549:18 [INFO] [stdout] | [INFO] [stdout] 549 | for (i, (&pred, &target)) in predictions.iter().zip(y_true.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_instance` [INFO] [stdout] --> src/large_scale.rs:392:17 [INFO] [stdout] | [INFO] [stdout] 392 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/optimization.rs:106:14 [INFO] [stdout] | [INFO] [stdout] 106 | for (i, (&prob, &target)) in probabilities.iter().zip(targets.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `targets` [INFO] [stdout] --> src/optimization.rs:135:9 [INFO] [stdout] | [INFO] [stdout] 135 | targets: &Array1, [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_targets` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `fp` is assigned to, but never used [INFO] [stdout] --> src/optimization.rs:480:13 [INFO] [stdout] | [INFO] [stdout] 480 | let mut fp = 0.0; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: consider using `_fp` instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `fp` is never read [INFO] [stdout] --> src/optimization.rs:495:17 [INFO] [stdout] | [INFO] [stdout] 495 | fp += 1.0; [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `simple_calibrator` [INFO] [stdout] --> src/optimization.rs:673:21 [INFO] [stdout] | [INFO] [stdout] 673 | let simple_calibrator = SigmoidCalibrator::new(); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_simple_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `temperature` [INFO] [stdout] --> src/quantum_optimization.rs:290:9 [INFO] [stdout] | [INFO] [stdout] 290 | temperature: Float, [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_temperature` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `param` [INFO] [stdout] --> src/quantum_optimization.rs:494:18 [INFO] [stdout] | [INFO] [stdout] 494 | for (i, ¶m) in circuit_params.iter().enumerate() { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_param` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `metric` [INFO] [stdout] --> src/information_geometry.rs:347:9 [INFO] [stdout] | [INFO] [stdout] 347 | metric: &FisherInformationMetric, [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_metric` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/information_geometry.rs:477:13 [INFO] [stdout] | [INFO] [stdout] 477 | for iteration in 0..self.config.max_riemannian_iterations { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/information_geometry.rs:552:14 [INFO] [stdout] | [INFO] [stdout] 552 | for (i, (&prob, &label)) in probabilities.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `point` [INFO] [stdout] --> src/information_geometry.rs:602:9 [INFO] [stdout] | [INFO] [stdout] 602 | point: &ManifoldPoint, [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_point` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `remainder` [INFO] [stdout] --> src/performance.rs:20:13 [INFO] [stdout] | [INFO] [stdout] 20 | let remainder = x.len() % 4; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_remainder` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `sum` is never read [INFO] [stdout] --> src/performance.rs:77:23 [INFO] [stdout] | [INFO] [stdout] 77 | let mut sum = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `score` is never read [INFO] [stdout] --> src/performance.rs:131:25 [INFO] [stdout] | [INFO] [stdout] 131 | let mut score = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `one` [INFO] [stdout] --> src/performance.rs:223:9 [INFO] [stdout] | [INFO] [stdout] 223 | let one = _mm256_set1_pd(1.0); [INFO] [stdout] | ^^^ help: if this is intentional, prefix it with an underscore: `_one` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `c1` [INFO] [stdout] --> src/performance.rs:248:9 [INFO] [stdout] | [INFO] [stdout] 248 | let c1 = _mm256_set1_pd(1.0); [INFO] [stdout] | ^^ help: if this is intentional, prefix it with an underscore: `_c1` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `chunk_size` [INFO] [stdout] --> src/performance.rs:749:13 [INFO] [stdout] | [INFO] [stdout] 749 | let chunk_size = probabilities.len() / self.hardware_capabilities.logical_cores.max(1); [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_chunk_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `y` [INFO] [stdout] --> src/gpu_calibration.rs:460:9 [INFO] [stdout] | [INFO] [stdout] 460 | y: &[f32], [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_y` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_features` [INFO] [stdout] --> src/gpu_calibration.rs:535:9 [INFO] [stdout] | [INFO] [stdout] 535 | n_features: usize, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_size` [INFO] [stdout] --> src/llm_calibration.rs:56:14 [INFO] [stdout] | [INFO] [stdout] 56 | let (batch_size, seq_length, vocab_size) = token_probabilities.dim(); [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `attention_weights` [INFO] [stdout] --> src/llm_calibration.rs:122:9 [INFO] [stdout] | [INFO] [stdout] 122 | attention_weights: Option<&Array3>, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_attention_weights` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `vocab_size` [INFO] [stdout] --> src/llm_calibration.rs:130:38 [INFO] [stdout] | [INFO] [stdout] 130 | let (batch_size, seq_length, vocab_size) = token_probabilities.dim(); [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_vocab_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seq_len` [INFO] [stdout] --> src/llm_calibration.rs:647:26 [INFO] [stdout] | [INFO] [stdout] 647 | let (batch_size, seq_len, _) = attention_weights.dim(); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_len` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/differential_privacy.rs:126:13 [INFO] [stdout] | [INFO] [stdout] 126 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seed` [INFO] [stdout] --> src/differential_privacy.rs:126:40 [INFO] [stdout] | [INFO] [stdout] 126 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_seed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/differential_privacy.rs:291:13 [INFO] [stdout] | [INFO] [stdout] 291 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seed` [INFO] [stdout] --> src/differential_privacy.rs:291:40 [INFO] [stdout] | [INFO] [stdout] 291 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_seed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `noise` [INFO] [stdout] --> src/differential_privacy.rs:299:13 [INFO] [stdout] | [INFO] [stdout] 299 | let noise = if u < 0.0 { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_noise` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/differential_privacy.rs:499:13 [INFO] [stdout] | [INFO] [stdout] 499 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seed` [INFO] [stdout] --> src/differential_privacy.rs:499:40 [INFO] [stdout] | [INFO] [stdout] 499 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_seed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `total_weight` [INFO] [stdout] --> src/differential_privacy.rs:515:13 [INFO] [stdout] | [INFO] [stdout] 515 | let total_weight: Float = weights.iter().sum(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_total_weight` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/meta_learning.rs:169:30 [INFO] [stdout] | [INFO] [stdout] 169 | for (i, (&pred, &target)) in [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epoch` [INFO] [stdout] --> src/meta_learning.rs:206:13 [INFO] [stdout] | [INFO] [stdout] 206 | for epoch in 0..n_epochs { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_epoch` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/meta_learning.rs:683:13 [INFO] [stdout] | [INFO] [stdout] 683 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/meta_learning.rs:758:13 [INFO] [stdout] | [INFO] [stdout] 758 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/meta_learning.rs:806:13 [INFO] [stdout] | [INFO] [stdout] 806 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `generation` [INFO] [stdout] --> src/meta_learning.rs:821:13 [INFO] [stdout] | [INFO] [stdout] 821 | for generation in 0..(self.n_iterations / population_size) { [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_generation` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `method_idx` [INFO] [stdout] --> src/meta_learning.rs:888:9 [INFO] [stdout] | [INFO] [stdout] 888 | method_idx: usize, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_method_idx` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hyperparams` [INFO] [stdout] --> src/meta_learning.rs:889:9 [INFO] [stdout] | [INFO] [stdout] 889 | hyperparams: &HashMap, [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_hyperparams` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/continual_learning.rs:430:21 [INFO] [stdout] | [INFO] [stdout] 430 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/continual_learning.rs:508:17 [INFO] [stdout] | [INFO] [stdout] 508 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `decay_rate` [INFO] [stdout] --> src/continual_learning.rs:534:9 [INFO] [stdout] | [INFO] [stdout] 534 | decay_rate: Float, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_decay_rate` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/continual_learning.rs:547:13 [INFO] [stdout] | [INFO] [stdout] 547 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `probabilities` [INFO] [stdout] --> src/continual_learning.rs:655:23 [INFO] [stdout] | [INFO] [stdout] 655 | fn fit(&mut self, probabilities: &Array1, _y_true: &Array1) -> Result<()> { [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_probabilities` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `rayon::prelude` [INFO] [stdout] --> src/performance.rs:747:13 [INFO] [stdout] | [INFO] [stdout] 747 | use rayon::prelude::*; [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: `CalibrationEstimator` [INFO] [stdout] --> src/statistical_tests.rs:13:29 [INFO] [stdout] | [INFO] [stdout] 13 | CalibratedClassifierCV, CalibrationEstimator, CalibrationMethod, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_points` [INFO] [stdout] --> src/topological_calibration.rs:688:13 [INFO] [stdout] | [INFO] [stdout] 688 | let n_points = probabilities.len(); [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_points` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/metrics.rs:154:10 [INFO] [stdout] | [INFO] [stdout] 154 | for (i, (&prob, &true_label)) in y_prob.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `true_label` [INFO] [stdout] --> src/metrics.rs:154:22 [INFO] [stdout] | [INFO] [stdout] 154 | for (i, (&prob, &true_label)) in y_prob.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_true_label` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/metrics.rs:469:10 [INFO] [stdout] | [INFO] [stdout] 469 | for (i, (&prob, &true_label)) in y_prob.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `classes` [INFO] [stdout] --> src/binary.rs:384:5 [INFO] [stdout] | [INFO] [stdout] 384 | classes: &[i32], [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_classes` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n` [INFO] [stdout] --> src/measure_theoretic.rs:428:13 [INFO] [stdout] | [INFO] [stdout] 428 | let n = initial_predictions.len(); [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> src/measure_theoretic.rs:631:13 [INFO] [stdout] | [INFO] [stdout] 631 | let lambda = 10.0; // Regularization parameter [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hausdorff_result` [INFO] [stdout] --> src/measure_theoretic.rs:878:13 [INFO] [stdout] | [INFO] [stdout] 878 | let hausdorff_result = [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_hausdorff_result` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `transport_result` [INFO] [stdout] --> src/measure_theoretic.rs:882:13 [INFO] [stdout] | [INFO] [stdout] 882 | let transport_result = self.compute_optimal_transport(predictions, targets)?; [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_transport_result` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/histogram.rs:61:14 [INFO] [stdout] | [INFO] [stdout] 61 | for (i, (&prob, &label)) in probabilities.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hidden_dims` [INFO] [stdout] --> src/lib.rs:800:17 [INFO] [stdout] | [INFO] [stdout] 800 | ref hidden_dims, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `hidden_dims: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `activation` [INFO] [stdout] --> src/lib.rs:801:17 [INFO] [stdout] | [INFO] [stdout] 801 | ref activation, [INFO] [stdout] | ^^^^^^^^^^^^^^ help: try ignoring the field: `activation: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:802:17 [INFO] [stdout] | [INFO] [stdout] 802 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epochs` [INFO] [stdout] --> src/lib.rs:803:17 [INFO] [stdout] | [INFO] [stdout] 803 | epochs, [INFO] [stdout] | ^^^^^^ help: try ignoring the field: `epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `base_method` [INFO] [stdout] --> src/lib.rs:806:17 [INFO] [stdout] | [INFO] [stdout] 806 | ref base_method, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `base_method: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `alpha` [INFO] [stdout] --> src/lib.rs:807:17 [INFO] [stdout] | [INFO] [stdout] 807 | alpha, [INFO] [stdout] | ^^^^^ help: try ignoring the field: `alpha: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `num_mixup_samples` [INFO] [stdout] --> src/lib.rs:808:17 [INFO] [stdout] | [INFO] [stdout] 808 | num_mixup_samples, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: try ignoring the field: `num_mixup_samples: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hidden_dims` [INFO] [stdout] --> src/lib.rs:811:17 [INFO] [stdout] | [INFO] [stdout] 811 | ref hidden_dims, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `hidden_dims: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `dropout_prob` [INFO] [stdout] --> src/lib.rs:812:17 [INFO] [stdout] | [INFO] [stdout] 812 | dropout_prob, [INFO] [stdout] | ^^^^^^^^^^^^ help: try ignoring the field: `dropout_prob: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `mc_samples` [INFO] [stdout] --> src/lib.rs:813:17 [INFO] [stdout] | [INFO] [stdout] 813 | mc_samples, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `mc_samples: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hidden_dims` [INFO] [stdout] --> src/lib.rs:817:17 [INFO] [stdout] | [INFO] [stdout] 817 | ref hidden_dims, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `hidden_dims: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `structure_type` [INFO] [stdout] --> src/lib.rs:826:17 [INFO] [stdout] | [INFO] [stdout] 826 | ref structure_type, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `structure_type: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `temperature` [INFO] [stdout] --> src/lib.rs:828:17 [INFO] [stdout] | [INFO] [stdout] 828 | temperature, [INFO] [stdout] | ^^^^^^^^^^^ help: try ignoring the field: `temperature: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:837:17 [INFO] [stdout] | [INFO] [stdout] 837 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `use_momentum` [INFO] [stdout] --> src/lib.rs:838:17 [INFO] [stdout] | [INFO] [stdout] 838 | use_momentum, [INFO] [stdout] | ^^^^^^^^^^^^ help: try ignoring the field: `use_momentum: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `momentum` [INFO] [stdout] --> src/lib.rs:839:17 [INFO] [stdout] | [INFO] [stdout] 839 | momentum, [INFO] [stdout] | ^^^^^^^^ help: try ignoring the field: `momentum: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `window_size` [INFO] [stdout] --> src/lib.rs:842:17 [INFO] [stdout] | [INFO] [stdout] 842 | window_size, [INFO] [stdout] | ^^^^^^^^^^^ help: try ignoring the field: `window_size: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `retrain_frequency` [INFO] [stdout] --> src/lib.rs:843:17 [INFO] [stdout] | [INFO] [stdout] 843 | retrain_frequency, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: try ignoring the field: `retrain_frequency: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `drift_threshold` [INFO] [stdout] --> src/lib.rs:844:17 [INFO] [stdout] | [INFO] [stdout] 844 | drift_threshold, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `drift_threshold: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `update_frequency` [INFO] [stdout] --> src/lib.rs:847:17 [INFO] [stdout] | [INFO] [stdout] 847 | update_frequency, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: try ignoring the field: `update_frequency: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:848:17 [INFO] [stdout] | [INFO] [stdout] 848 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `use_smoothing` [INFO] [stdout] --> src/lib.rs:849:17 [INFO] [stdout] | [INFO] [stdout] 849 | use_smoothing, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `use_smoothing: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gamma` [INFO] [stdout] --> src/lib.rs:852:17 [INFO] [stdout] | [INFO] [stdout] 852 | gamma, [INFO] [stdout] | ^^^^^ help: try ignoring the field: `gamma: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `temperature` [INFO] [stdout] --> src/lib.rs:853:17 [INFO] [stdout] | [INFO] [stdout] 853 | temperature, [INFO] [stdout] | ^^^^^^^^^^^ help: try ignoring the field: `temperature: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:854:17 [INFO] [stdout] | [INFO] [stdout] 854 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_epochs` [INFO] [stdout] --> src/lib.rs:855:17 [INFO] [stdout] | [INFO] [stdout] 855 | max_epochs, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `max_epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> src/lib.rs:858:17 [INFO] [stdout] | [INFO] [stdout] 858 | lambda, [INFO] [stdout] | ^^^^^^ help: try ignoring the field: `lambda: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:859:17 [INFO] [stdout] | [INFO] [stdout] 859 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_epochs` [INFO] [stdout] --> src/lib.rs:860:17 [INFO] [stdout] | [INFO] [stdout] 860 | max_epochs, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `max_epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:863:17 [INFO] [stdout] | [INFO] [stdout] 863 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_epochs` [INFO] [stdout] --> src/lib.rs:864:17 [INFO] [stdout] | [INFO] [stdout] 864 | max_epochs, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `max_epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_bins` [INFO] [stdout] --> src/lib.rs:867:17 [INFO] [stdout] | [INFO] [stdout] 867 | n_bins, [INFO] [stdout] | ^^^^^^ help: try ignoring the field: `n_bins: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:868:17 [INFO] [stdout] | [INFO] [stdout] 868 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_epochs` [INFO] [stdout] --> src/lib.rs:869:17 [INFO] [stdout] | [INFO] [stdout] 869 | max_epochs, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `max_epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_modalities` [INFO] [stdout] --> src/lib.rs:872:17 [INFO] [stdout] | [INFO] [stdout] 872 | n_modalities, [INFO] [stdout] | ^^^^^^^^^^^^ help: try ignoring the field: `n_modalities: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `fusion_strategy` [INFO] [stdout] --> src/lib.rs:873:17 [INFO] [stdout] | [INFO] [stdout] 873 | ref fusion_strategy, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `fusion_strategy: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `adaptation_weights` [INFO] [stdout] --> src/lib.rs:876:17 [INFO] [stdout] | [INFO] [stdout] 876 | ref adaptation_weights, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `adaptation_weights: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `combination_strategy` [INFO] [stdout] --> src/lib.rs:879:17 [INFO] [stdout] | [INFO] [stdout] 879 | ref combination_strategy, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `combination_strategy: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `adaptation_strength` [INFO] [stdout] --> src/lib.rs:888:17 [INFO] [stdout] | [INFO] [stdout] 888 | adaptation_strength, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `adaptation_strength: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `transfer_strategy` [INFO] [stdout] --> src/lib.rs:891:17 [INFO] [stdout] | [INFO] [stdout] 891 | ref transfer_strategy, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `transfer_strategy: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:892:17 [INFO] [stdout] | [INFO] [stdout] 892 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `finetune_iterations` [INFO] [stdout] --> src/lib.rs:893:17 [INFO] [stdout] | [INFO] [stdout] 893 | finetune_iterations, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `finetune_iterations: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `aggregation_method` [INFO] [stdout] --> src/lib.rs:904:17 [INFO] [stdout] | [INFO] [stdout] 904 | ref aggregation_method, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `aggregation_method: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `confidence_patterns` [INFO] [stdout] --> src/lib.rs:911:17 [INFO] [stdout] | [INFO] [stdout] 911 | ref confidence_patterns, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `confidence_patterns: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `aggregation_method` [INFO] [stdout] --> src/lib.rs:918:17 [INFO] [stdout] | [INFO] [stdout] 918 | ref aggregation_method, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `aggregation_method: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epsilon` [INFO] [stdout] --> src/lib.rs:925:17 [INFO] [stdout] | [INFO] [stdout] 925 | epsilon, [INFO] [stdout] | ^^^^^^^ help: try ignoring the field: `epsilon: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `delta` [INFO] [stdout] --> src/lib.rs:926:17 [INFO] [stdout] | [INFO] [stdout] 926 | delta, [INFO] [stdout] | ^^^^^ help: try ignoring the field: `delta: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `sensitivity` [INFO] [stdout] --> src/lib.rs:927:17 [INFO] [stdout] | [INFO] [stdout] 927 | sensitivity, [INFO] [stdout] | ^^^^^^^^^^^ help: try ignoring the field: `sensitivity: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epsilon` [INFO] [stdout] --> src/lib.rs:942:55 [INFO] [stdout] | [INFO] [stdout] 942 | CalibrationMethod::DPTemperatureScaling { epsilon, delta } => { [INFO] [stdout] | ^^^^^^^ help: try ignoring the field: `epsilon: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `delta` [INFO] [stdout] --> src/lib.rs:942:64 [INFO] [stdout] | [INFO] [stdout] 942 | CalibrationMethod::DPTemperatureScaling { epsilon, delta } => { [INFO] [stdout] | ^^^^^ help: try ignoring the field: `delta: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `base_method` [INFO] [stdout] --> src/lib.rs:948:17 [INFO] [stdout] | [INFO] [stdout] 948 | ref base_method, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `base_method: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `replay_strategy` [INFO] [stdout] --> src/lib.rs:949:17 [INFO] [stdout] | [INFO] [stdout] 949 | ref replay_strategy, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `replay_strategy: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_bins` [INFO] [stdout] --> src/lib.rs:958:17 [INFO] [stdout] | [INFO] [stdout] 958 | n_bins, [INFO] [stdout] | ^^^^^^ help: try ignoring the field: `n_bins: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:959:17 [INFO] [stdout] | [INFO] [stdout] 959 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_iterations` [INFO] [stdout] --> src/lib.rs:960:17 [INFO] [stdout] | [INFO] [stdout] 960 | max_iterations, [INFO] [stdout] | ^^^^^^^^^^^^^^ help: try ignoring the field: `max_iterations: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tolerance` [INFO] [stdout] --> src/lib.rs:961:17 [INFO] [stdout] | [INFO] [stdout] 961 | tolerance, [INFO] [stdout] | ^^^^^^^^^ help: try ignoring the field: `tolerance: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `use_adaptive_bins` [INFO] [stdout] --> src/lib.rs:962:17 [INFO] [stdout] | [INFO] [stdout] 962 | use_adaptive_bins, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: try ignoring the field: `use_adaptive_bins: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_classes` [INFO] [stdout] --> src/multiclass.rs:202:25 [INFO] [stdout] | [INFO] [stdout] 202 | let (n_samples, n_classes) = probabilities.dim(); [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_classes` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `total_loss` is assigned to, but never used [INFO] [stdout] --> src/multiclass.rs:364:17 [INFO] [stdout] | [INFO] [stdout] 364 | let mut total_loss = 0.0; [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: consider using `_total_loss` instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `total_loss` is never read [INFO] [stdout] --> src/multiclass.rs:383:21 [INFO] [stdout] | [INFO] [stdout] 383 | total_loss -= probs[true_class].ln(); [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: `var_residual` [INFO] [stdout] --> src/beta.rs:59:13 [INFO] [stdout] | [INFO] [stdout] 59 | let var_residual = { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_var_residual` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated constant `Sigmoid` should have an upper case name [INFO] [stdout] --> src/gpu_calibration.rs:21:15 [INFO] [stdout] | [INFO] [stdout] 21 | pub const Sigmoid: Self = Self; [INFO] [stdout] | ^^^^^^^ help: convert the identifier to upper case: `SIGMOID` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_upper_case_globals)]` (part of `#[warn(nonstandard_style)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `training_probabilities` [INFO] [stdout] --> src/local.rs:110:13 [INFO] [stdout] | [INFO] [stdout] 110 | let training_probabilities = [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_training_probabilities` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `original_params` [INFO] [stdout] --> src/gaussian_process.rs:353:13 [INFO] [stdout] | [INFO] [stdout] 353 | let original_params = self.kernel_params.clone(); [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_original_params` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/visualization.rs:133:10 [INFO] [stdout] | [INFO] [stdout] 133 | for (i, (&prob, &label)) in y_prob.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `loo_predictions` [INFO] [stdout] --> src/conformal.rs:539:13 [INFO] [stdout] | [INFO] [stdout] 539 | let loo_predictions = Array1::from(loo_pred); [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_loo_predictions` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `loo_targets` [INFO] [stdout] --> src/conformal.rs:540:13 [INFO] [stdout] | [INFO] [stdout] 540 | let loo_targets = Array1::from(loo_targ); [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_loo_targets` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `config` [INFO] [stdout] --> src/statistical_tests.rs:442:5 [INFO] [stdout] | [INFO] [stdout] 442 | config: &StatisticalTestConfig, [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_config` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `prev_x` is never read [INFO] [stdout] --> src/numerical_stability.rs:237:26 [INFO] [stdout] | [INFO] [stdout] 237 | let mut prev_x = x; [INFO] [stdout] | ^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `scirs2_core::Rng::gen`: Renamed to `random` to avoid conflict with the new `gen` keyword in Rust 2024. [INFO] [stdout] --> benches/calibration_benchmarks.rs:35:29 [INFO] [stdout] | [INFO] [stdout] 35 | let base_prob = rng.gen::(); [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(deprecated)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `scirs2_core::Rng::gen`: Renamed to `random` to avoid conflict with the new `gen` keyword in Rust 2024. [INFO] [stdout] --> benches/calibration_benchmarks.rs:38:58 [INFO] [stdout] | [INFO] [stdout] 38 | let biased_prob = (base_prob + noise_level * rng.gen::()).clamp(0.01, 0.99); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `scirs2_core::Rng::gen`: Renamed to `random` to avoid conflict with the new `gen` keyword in Rust 2024. [INFO] [stdout] --> benches/calibration_benchmarks.rs:42:29 [INFO] [stdout] | [INFO] [stdout] 42 | targets[i] = if rng.gen::() < base_prob { 1 } else { 0 }; [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/prediction_intervals.rs:248:13 [INFO] [stdout] | [INFO] [stdout] 248 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_neighbors` [INFO] [stdout] --> src/prediction_intervals.rs:278:9 [INFO] [stdout] | [INFO] [stdout] 278 | n_neighbors: usize, [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_neighbors` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `scirs2_core::Rng::gen_range`: Renamed to `random_range` [INFO] [stdout] --> benches/calibration_benchmarks.rs:59:29 [INFO] [stdout] | [INFO] [stdout] 59 | logits[j] = rng.gen_range(-2.0..2.0); [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `scirs2_core::Rng::gen_range`: Renamed to `random_range` [INFO] [stdout] --> benches/calibration_benchmarks.rs:71:26 [INFO] [stdout] | [INFO] [stdout] 71 | targets[i] = rng.gen_range(0..n_classes) as i32; [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/uncertainty_estimation.rs:216:13 [INFO] [stdout] | [INFO] [stdout] 216 | let rng_instance = if let Some(seed) = self.config.random_seed { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seed` [INFO] [stdout] --> src/uncertainty_estimation.rs:216:40 [INFO] [stdout] | [INFO] [stdout] 216 | let rng_instance = if let Some(seed) = self.config.random_seed { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_seed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `posterior_precision` [INFO] [stdout] --> src/uncertainty_estimation.rs:336:13 [INFO] [stdout] | [INFO] [stdout] 336 | let posterior_precision = &xt_x + prior_precision * Array2::eye(2); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_posterior_precision` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_samples` [INFO] [stdout] --> src/higher_order_uncertainty.rs:156:13 [INFO] [stdout] | [INFO] [stdout] 156 | let n_samples = probabilities.len(); [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `generate_multiclass_data` is never used [INFO] [stdout] --> benches/calibration_benchmarks.rs:49:4 [INFO] [stdout] | [INFO] [stdout] 49 | fn generate_multiclass_data(n_samples: usize, n_classes: usize) -> (Array2, Array1) { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `prob` [INFO] [stdout] --> src/higher_order_uncertainty.rs:492:22 [INFO] [stdout] | [INFO] [stdout] 492 | for (i, &prob) in probabilities.iter().enumerate() { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_prob` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `alpha` [INFO] [stdout] --> src/higher_order_uncertainty.rs:758:13 [INFO] [stdout] | [INFO] [stdout] 758 | let alpha = 1.0 - self.config.confidence_level; [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_alpha` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/bayesian.rs:77:14 [INFO] [stdout] | [INFO] [stdout] 77 | for (i, (&prob, &y)) in probabilities.iter().zip(y_true.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_instance` [INFO] [stdout] --> src/bayesian.rs:212:13 [INFO] [stdout] | [INFO] [stdout] 212 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/bayesian.rs:241:14 [INFO] [stdout] | [INFO] [stdout] 241 | for (i, (&prob, &y)) in probabilities.iter().zip(y_true.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_instance` [INFO] [stdout] --> src/bayesian.rs:276:13 [INFO] [stdout] | [INFO] [stdout] 276 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/bayesian.rs:410:14 [INFO] [stdout] | [INFO] [stdout] 410 | for (i, (&prob, &y)) in probabilities.iter().zip(y_true.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_instance` [INFO] [stdout] --> src/bayesian.rs:433:13 [INFO] [stdout] | [INFO] [stdout] 433 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/bayesian.rs:845:13 [INFO] [stdout] | [INFO] [stdout] 845 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/bayesian.rs:877:13 [INFO] [stdout] | [INFO] [stdout] 877 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/bayesian.rs:1165:13 [INFO] [stdout] | [INFO] [stdout] 1165 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/bayesian.rs:1205:13 [INFO] [stdout] | [INFO] [stdout] 1205 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `weights` [INFO] [stdout] --> src/domain_specific.rs:138:17 [INFO] [stdout] | [INFO] [stdout] 138 | let weights = self.compute_temporal_weights(window_probs.len()); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/neural_calibration.rs:99:13 [INFO] [stdout] | [INFO] [stdout] 99 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `limit` [INFO] [stdout] --> src/neural_calibration.rs:115:17 [INFO] [stdout] | [INFO] [stdout] 115 | let limit = (6.0 / (input_size + output_size) as Float).sqrt(); [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_limit` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `next_activation` [INFO] [stdout] --> src/neural_calibration.rs:199:17 [INFO] [stdout] | [INFO] [stdout] 199 | let next_activation = &activations[i + 1]; [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_next_activation` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/neural_calibration.rs:347:13 [INFO] [stdout] | [INFO] [stdout] 347 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n` [INFO] [stdout] --> src/neural_calibration.rs:348:13 [INFO] [stdout] | [INFO] [stdout] 348 | let n = probabilities.len(); [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/neural_calibration.rs:463:13 [INFO] [stdout] | [INFO] [stdout] 463 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/neural_calibration.rs:504:21 [INFO] [stdout] | [INFO] [stdout] 504 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `noise` [INFO] [stdout] --> src/neural_calibration.rs:505:21 [INFO] [stdout] | [INFO] [stdout] 505 | let noise = 0; [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_noise` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `offline_calibrator` [INFO] [stdout] --> src/streaming.rs:114:13 [INFO] [stdout] | [INFO] [stdout] 114 | let offline_calibrator = SigmoidCalibrator::new().fit(probabilities, y_true)?; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_offline_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_features` [INFO] [stdout] --> src/calibration_aware_training.rs:104:13 [INFO] [stdout] | [INFO] [stdout] 104 | let n_features = x_train.ncols(); [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/high_precision.rs:159:14 [INFO] [stdout] | [INFO] [stdout] 159 | for (i, (&p_i, &q_i)) in p.iter().zip(q.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `is_negative` [INFO] [stdout] --> src/ultra_precision.rs:39:13 [INFO] [stdout] | [INFO] [stdout] 39 | let is_negative = value < 0.0; [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_is_negative` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `term` is never read [INFO] [stdout] --> src/ultra_precision.rs:670:24 [INFO] [stdout] | [INFO] [stdout] 670 | let mut term = Self::one(precision); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:239:9 [INFO] [stdout] | [INFO] [stdout] 239 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:283:9 [INFO] [stdout] | [INFO] [stdout] 283 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:316:9 [INFO] [stdout] | [INFO] [stdout] 316 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:348:9 [INFO] [stdout] | [INFO] [stdout] 348 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:379:9 [INFO] [stdout] | [INFO] [stdout] 379 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:410:9 [INFO] [stdout] | [INFO] [stdout] 410 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:441:9 [INFO] [stdout] | [INFO] [stdout] 441 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `calibrator` [INFO] [stdout] --> src/theoretical_validation.rs:472:9 [INFO] [stdout] | [INFO] [stdout] 472 | calibrator: &T, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `method_name` [INFO] [stdout] --> src/theoretical_validation.rs:531:45 [INFO] [stdout] | [INFO] [stdout] 531 | fn verify_convergence_conditions(&self, method_name: &str) -> Result { [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_method_name` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `method_name` [INFO] [stdout] --> src/theoretical_validation.rs:615:46 [INFO] [stdout] | [INFO] [stdout] 615 | fn verify_statistical_consistency(&self, method_name: &str) -> Result { [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_method_name` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `y_true` [INFO] [stdout] --> src/multi_modal.rs:75:9 [INFO] [stdout] | [INFO] [stdout] 75 | y_true: &Array1, [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_true` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/multi_modal.rs:549:18 [INFO] [stdout] | [INFO] [stdout] 549 | for (i, (&pred, &target)) in predictions.iter().zip(y_true.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_instance` [INFO] [stdout] --> src/large_scale.rs:392:17 [INFO] [stdout] | [INFO] [stdout] 392 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/optimization.rs:106:14 [INFO] [stdout] | [INFO] [stdout] 106 | for (i, (&prob, &target)) in probabilities.iter().zip(targets.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `targets` [INFO] [stdout] --> src/optimization.rs:135:9 [INFO] [stdout] | [INFO] [stdout] 135 | targets: &Array1, [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_targets` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `fp` is assigned to, but never used [INFO] [stdout] --> src/optimization.rs:480:13 [INFO] [stdout] | [INFO] [stdout] 480 | let mut fp = 0.0; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: consider using `_fp` instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `fp` is never read [INFO] [stdout] --> src/optimization.rs:495:17 [INFO] [stdout] | [INFO] [stdout] 495 | fp += 1.0; [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `simple_calibrator` [INFO] [stdout] --> src/optimization.rs:673:21 [INFO] [stdout] | [INFO] [stdout] 673 | let simple_calibrator = SigmoidCalibrator::new(); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_simple_calibrator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `temperature` [INFO] [stdout] --> src/quantum_optimization.rs:290:9 [INFO] [stdout] | [INFO] [stdout] 290 | temperature: Float, [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_temperature` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `param` [INFO] [stdout] --> src/quantum_optimization.rs:494:18 [INFO] [stdout] | [INFO] [stdout] 494 | for (i, ¶m) in circuit_params.iter().enumerate() { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_param` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `metric` [INFO] [stdout] --> src/information_geometry.rs:347:9 [INFO] [stdout] | [INFO] [stdout] 347 | metric: &FisherInformationMetric, [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_metric` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/information_geometry.rs:477:13 [INFO] [stdout] | [INFO] [stdout] 477 | for iteration in 0..self.config.max_riemannian_iterations { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/information_geometry.rs:552:14 [INFO] [stdout] | [INFO] [stdout] 552 | for (i, (&prob, &label)) in probabilities.iter().zip(y_true.iter()).enumerate() { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `point` [INFO] [stdout] --> src/information_geometry.rs:602:9 [INFO] [stdout] | [INFO] [stdout] 602 | point: &ManifoldPoint, [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_point` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `remainder` [INFO] [stdout] --> src/performance.rs:20:13 [INFO] [stdout] | [INFO] [stdout] 20 | let remainder = x.len() % 4; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_remainder` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `sum` is never read [INFO] [stdout] --> src/performance.rs:77:23 [INFO] [stdout] | [INFO] [stdout] 77 | let mut sum = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `score` is never read [INFO] [stdout] --> src/performance.rs:131:25 [INFO] [stdout] | [INFO] [stdout] 131 | let mut score = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `one` [INFO] [stdout] --> src/performance.rs:223:9 [INFO] [stdout] | [INFO] [stdout] 223 | let one = _mm256_set1_pd(1.0); [INFO] [stdout] | ^^^ help: if this is intentional, prefix it with an underscore: `_one` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `c1` [INFO] [stdout] --> src/performance.rs:248:9 [INFO] [stdout] | [INFO] [stdout] 248 | let c1 = _mm256_set1_pd(1.0); [INFO] [stdout] | ^^ help: if this is intentional, prefix it with an underscore: `_c1` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `chunk_size` [INFO] [stdout] --> src/performance.rs:749:13 [INFO] [stdout] | [INFO] [stdout] 749 | let chunk_size = probabilities.len() / self.hardware_capabilities.logical_cores.max(1); [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_chunk_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `y` [INFO] [stdout] --> src/gpu_calibration.rs:460:9 [INFO] [stdout] | [INFO] [stdout] 460 | y: &[f32], [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_y` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_features` [INFO] [stdout] --> src/gpu_calibration.rs:535:9 [INFO] [stdout] | [INFO] [stdout] 535 | n_features: usize, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_size` [INFO] [stdout] --> src/llm_calibration.rs:56:14 [INFO] [stdout] | [INFO] [stdout] 56 | let (batch_size, seq_length, vocab_size) = token_probabilities.dim(); [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `attention_weights` [INFO] [stdout] --> src/llm_calibration.rs:122:9 [INFO] [stdout] | [INFO] [stdout] 122 | attention_weights: Option<&Array3>, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_attention_weights` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `vocab_size` [INFO] [stdout] --> src/llm_calibration.rs:130:38 [INFO] [stdout] | [INFO] [stdout] 130 | let (batch_size, seq_length, vocab_size) = token_probabilities.dim(); [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_vocab_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seq_len` [INFO] [stdout] --> src/llm_calibration.rs:647:26 [INFO] [stdout] | [INFO] [stdout] 647 | let (batch_size, seq_len, _) = attention_weights.dim(); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_len` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/differential_privacy.rs:126:13 [INFO] [stdout] | [INFO] [stdout] 126 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seed` [INFO] [stdout] --> src/differential_privacy.rs:126:40 [INFO] [stdout] | [INFO] [stdout] 126 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_seed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/differential_privacy.rs:291:13 [INFO] [stdout] | [INFO] [stdout] 291 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seed` [INFO] [stdout] --> src/differential_privacy.rs:291:40 [INFO] [stdout] | [INFO] [stdout] 291 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_seed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `noise` [INFO] [stdout] --> src/differential_privacy.rs:299:13 [INFO] [stdout] | [INFO] [stdout] 299 | let noise = if u < 0.0 { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_noise` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/differential_privacy.rs:499:13 [INFO] [stdout] | [INFO] [stdout] 499 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `seed` [INFO] [stdout] --> src/differential_privacy.rs:499:40 [INFO] [stdout] | [INFO] [stdout] 499 | let rng_instance = if let Some(seed) = self.rng_seed { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_seed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `total_weight` [INFO] [stdout] --> src/differential_privacy.rs:515:13 [INFO] [stdout] | [INFO] [stdout] 515 | let total_weight: Float = weights.iter().sum(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_total_weight` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/meta_learning.rs:169:30 [INFO] [stdout] | [INFO] [stdout] 169 | for (i, (&pred, &target)) in [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epoch` [INFO] [stdout] --> src/meta_learning.rs:206:13 [INFO] [stdout] | [INFO] [stdout] 206 | for epoch in 0..n_epochs { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_epoch` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/meta_learning.rs:683:13 [INFO] [stdout] | [INFO] [stdout] 683 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/meta_learning.rs:758:13 [INFO] [stdout] | [INFO] [stdout] 758 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/meta_learning.rs:806:13 [INFO] [stdout] | [INFO] [stdout] 806 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `generation` [INFO] [stdout] --> src/meta_learning.rs:821:13 [INFO] [stdout] | [INFO] [stdout] 821 | for generation in 0..(self.n_iterations / population_size) { [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_generation` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `method_idx` [INFO] [stdout] --> src/meta_learning.rs:888:9 [INFO] [stdout] | [INFO] [stdout] 888 | method_idx: usize, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_method_idx` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hyperparams` [INFO] [stdout] --> src/meta_learning.rs:889:9 [INFO] [stdout] | [INFO] [stdout] 889 | hyperparams: &HashMap, [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_hyperparams` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/continual_learning.rs:430:21 [INFO] [stdout] | [INFO] [stdout] 430 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/continual_learning.rs:508:17 [INFO] [stdout] | [INFO] [stdout] 508 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `decay_rate` [INFO] [stdout] --> src/continual_learning.rs:534:9 [INFO] [stdout] | [INFO] [stdout] 534 | decay_rate: Float, [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_decay_rate` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `rng_instance` [INFO] [stdout] --> src/continual_learning.rs:547:13 [INFO] [stdout] | [INFO] [stdout] 547 | let rng_instance = thread_rng(); [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_rng_instance` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `probabilities` [INFO] [stdout] --> src/continual_learning.rs:655:23 [INFO] [stdout] | [INFO] [stdout] 655 | fn fit(&mut self, probabilities: &Array1, _y_true: &Array1) -> Result<()> { [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_probabilities` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_points` [INFO] [stdout] --> src/topological_calibration.rs:688:13 [INFO] [stdout] | [INFO] [stdout] 688 | let n_points = probabilities.len(); [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_points` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n` [INFO] [stdout] --> src/measure_theoretic.rs:428:13 [INFO] [stdout] | [INFO] [stdout] 428 | let n = initial_predictions.len(); [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> src/measure_theoretic.rs:631:13 [INFO] [stdout] | [INFO] [stdout] 631 | let lambda = 10.0; // Regularization parameter [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hausdorff_result` [INFO] [stdout] --> src/measure_theoretic.rs:878:13 [INFO] [stdout] | [INFO] [stdout] 878 | let hausdorff_result = [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_hausdorff_result` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `transport_result` [INFO] [stdout] --> src/measure_theoretic.rs:882:13 [INFO] [stdout] | [INFO] [stdout] 882 | let transport_result = self.compute_optimal_transport(predictions, targets)?; [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_transport_result` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hidden_dims` [INFO] [stdout] --> src/lib.rs:800:17 [INFO] [stdout] | [INFO] [stdout] 800 | ref hidden_dims, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `hidden_dims: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `activation` [INFO] [stdout] --> src/lib.rs:801:17 [INFO] [stdout] | [INFO] [stdout] 801 | ref activation, [INFO] [stdout] | ^^^^^^^^^^^^^^ help: try ignoring the field: `activation: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:802:17 [INFO] [stdout] | [INFO] [stdout] 802 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epochs` [INFO] [stdout] --> src/lib.rs:803:17 [INFO] [stdout] | [INFO] [stdout] 803 | epochs, [INFO] [stdout] | ^^^^^^ help: try ignoring the field: `epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `base_method` [INFO] [stdout] --> src/lib.rs:806:17 [INFO] [stdout] | [INFO] [stdout] 806 | ref base_method, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `base_method: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `alpha` [INFO] [stdout] --> src/lib.rs:807:17 [INFO] [stdout] | [INFO] [stdout] 807 | alpha, [INFO] [stdout] | ^^^^^ help: try ignoring the field: `alpha: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `num_mixup_samples` [INFO] [stdout] --> src/lib.rs:808:17 [INFO] [stdout] | [INFO] [stdout] 808 | num_mixup_samples, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: try ignoring the field: `num_mixup_samples: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hidden_dims` [INFO] [stdout] --> src/lib.rs:811:17 [INFO] [stdout] | [INFO] [stdout] 811 | ref hidden_dims, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `hidden_dims: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `dropout_prob` [INFO] [stdout] --> src/lib.rs:812:17 [INFO] [stdout] | [INFO] [stdout] 812 | dropout_prob, [INFO] [stdout] | ^^^^^^^^^^^^ help: try ignoring the field: `dropout_prob: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `mc_samples` [INFO] [stdout] --> src/lib.rs:813:17 [INFO] [stdout] | [INFO] [stdout] 813 | mc_samples, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `mc_samples: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `hidden_dims` [INFO] [stdout] --> src/lib.rs:817:17 [INFO] [stdout] | [INFO] [stdout] 817 | ref hidden_dims, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `hidden_dims: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `structure_type` [INFO] [stdout] --> src/lib.rs:826:17 [INFO] [stdout] | [INFO] [stdout] 826 | ref structure_type, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `structure_type: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `temperature` [INFO] [stdout] --> src/lib.rs:828:17 [INFO] [stdout] | [INFO] [stdout] 828 | temperature, [INFO] [stdout] | ^^^^^^^^^^^ help: try ignoring the field: `temperature: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:837:17 [INFO] [stdout] | [INFO] [stdout] 837 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `use_momentum` [INFO] [stdout] --> src/lib.rs:838:17 [INFO] [stdout] | [INFO] [stdout] 838 | use_momentum, [INFO] [stdout] | ^^^^^^^^^^^^ help: try ignoring the field: `use_momentum: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `momentum` [INFO] [stdout] --> src/lib.rs:839:17 [INFO] [stdout] | [INFO] [stdout] 839 | momentum, [INFO] [stdout] | ^^^^^^^^ help: try ignoring the field: `momentum: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `window_size` [INFO] [stdout] --> src/lib.rs:842:17 [INFO] [stdout] | [INFO] [stdout] 842 | window_size, [INFO] [stdout] | ^^^^^^^^^^^ help: try ignoring the field: `window_size: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `retrain_frequency` [INFO] [stdout] --> src/lib.rs:843:17 [INFO] [stdout] | [INFO] [stdout] 843 | retrain_frequency, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: try ignoring the field: `retrain_frequency: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `drift_threshold` [INFO] [stdout] --> src/lib.rs:844:17 [INFO] [stdout] | [INFO] [stdout] 844 | drift_threshold, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `drift_threshold: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `update_frequency` [INFO] [stdout] --> src/lib.rs:847:17 [INFO] [stdout] | [INFO] [stdout] 847 | update_frequency, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: try ignoring the field: `update_frequency: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:848:17 [INFO] [stdout] | [INFO] [stdout] 848 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `use_smoothing` [INFO] [stdout] --> src/lib.rs:849:17 [INFO] [stdout] | [INFO] [stdout] 849 | use_smoothing, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `use_smoothing: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gamma` [INFO] [stdout] --> src/lib.rs:852:17 [INFO] [stdout] | [INFO] [stdout] 852 | gamma, [INFO] [stdout] | ^^^^^ help: try ignoring the field: `gamma: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `temperature` [INFO] [stdout] --> src/lib.rs:853:17 [INFO] [stdout] | [INFO] [stdout] 853 | temperature, [INFO] [stdout] | ^^^^^^^^^^^ help: try ignoring the field: `temperature: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:854:17 [INFO] [stdout] | [INFO] [stdout] 854 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_epochs` [INFO] [stdout] --> src/lib.rs:855:17 [INFO] [stdout] | [INFO] [stdout] 855 | max_epochs, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `max_epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> src/lib.rs:858:17 [INFO] [stdout] | [INFO] [stdout] 858 | lambda, [INFO] [stdout] | ^^^^^^ help: try ignoring the field: `lambda: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:859:17 [INFO] [stdout] | [INFO] [stdout] 859 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_epochs` [INFO] [stdout] --> src/lib.rs:860:17 [INFO] [stdout] | [INFO] [stdout] 860 | max_epochs, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `max_epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:863:17 [INFO] [stdout] | [INFO] [stdout] 863 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_epochs` [INFO] [stdout] --> src/lib.rs:864:17 [INFO] [stdout] | [INFO] [stdout] 864 | max_epochs, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `max_epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_bins` [INFO] [stdout] --> src/lib.rs:867:17 [INFO] [stdout] | [INFO] [stdout] 867 | n_bins, [INFO] [stdout] | ^^^^^^ help: try ignoring the field: `n_bins: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:868:17 [INFO] [stdout] | [INFO] [stdout] 868 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_epochs` [INFO] [stdout] --> src/lib.rs:869:17 [INFO] [stdout] | [INFO] [stdout] 869 | max_epochs, [INFO] [stdout] | ^^^^^^^^^^ help: try ignoring the field: `max_epochs: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_modalities` [INFO] [stdout] --> src/lib.rs:872:17 [INFO] [stdout] | [INFO] [stdout] 872 | n_modalities, [INFO] [stdout] | ^^^^^^^^^^^^ help: try ignoring the field: `n_modalities: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `fusion_strategy` [INFO] [stdout] --> src/lib.rs:873:17 [INFO] [stdout] | [INFO] [stdout] 873 | ref fusion_strategy, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `fusion_strategy: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `adaptation_weights` [INFO] [stdout] --> src/lib.rs:876:17 [INFO] [stdout] | [INFO] [stdout] 876 | ref adaptation_weights, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `adaptation_weights: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `combination_strategy` [INFO] [stdout] --> src/lib.rs:879:17 [INFO] [stdout] | [INFO] [stdout] 879 | ref combination_strategy, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `combination_strategy: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `adaptation_strength` [INFO] [stdout] --> src/lib.rs:888:17 [INFO] [stdout] | [INFO] [stdout] 888 | adaptation_strength, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `adaptation_strength: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `transfer_strategy` [INFO] [stdout] --> src/lib.rs:891:17 [INFO] [stdout] | [INFO] [stdout] 891 | ref transfer_strategy, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `transfer_strategy: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:892:17 [INFO] [stdout] | [INFO] [stdout] 892 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `finetune_iterations` [INFO] [stdout] --> src/lib.rs:893:17 [INFO] [stdout] | [INFO] [stdout] 893 | finetune_iterations, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `finetune_iterations: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `aggregation_method` [INFO] [stdout] --> src/lib.rs:904:17 [INFO] [stdout] | [INFO] [stdout] 904 | ref aggregation_method, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `aggregation_method: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `confidence_patterns` [INFO] [stdout] --> src/lib.rs:911:17 [INFO] [stdout] | [INFO] [stdout] 911 | ref confidence_patterns, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `confidence_patterns: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `aggregation_method` [INFO] [stdout] --> src/lib.rs:918:17 [INFO] [stdout] | [INFO] [stdout] 918 | ref aggregation_method, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `aggregation_method: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epsilon` [INFO] [stdout] --> src/lib.rs:925:17 [INFO] [stdout] | [INFO] [stdout] 925 | epsilon, [INFO] [stdout] | ^^^^^^^ help: try ignoring the field: `epsilon: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `delta` [INFO] [stdout] --> src/lib.rs:926:17 [INFO] [stdout] | [INFO] [stdout] 926 | delta, [INFO] [stdout] | ^^^^^ help: try ignoring the field: `delta: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `sensitivity` [INFO] [stdout] --> src/lib.rs:927:17 [INFO] [stdout] | [INFO] [stdout] 927 | sensitivity, [INFO] [stdout] | ^^^^^^^^^^^ help: try ignoring the field: `sensitivity: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epsilon` [INFO] [stdout] --> src/lib.rs:942:55 [INFO] [stdout] | [INFO] [stdout] 942 | CalibrationMethod::DPTemperatureScaling { epsilon, delta } => { [INFO] [stdout] | ^^^^^^^ help: try ignoring the field: `epsilon: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `delta` [INFO] [stdout] --> src/lib.rs:942:64 [INFO] [stdout] | [INFO] [stdout] 942 | CalibrationMethod::DPTemperatureScaling { epsilon, delta } => { [INFO] [stdout] | ^^^^^ help: try ignoring the field: `delta: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `base_method` [INFO] [stdout] --> src/lib.rs:948:17 [INFO] [stdout] | [INFO] [stdout] 948 | ref base_method, [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: try ignoring the field: `base_method: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `replay_strategy` [INFO] [stdout] --> src/lib.rs:949:17 [INFO] [stdout] | [INFO] [stdout] 949 | ref replay_strategy, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: try ignoring the field: `replay_strategy: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_bins` [INFO] [stdout] --> src/lib.rs:958:17 [INFO] [stdout] | [INFO] [stdout] 958 | n_bins, [INFO] [stdout] | ^^^^^^ help: try ignoring the field: `n_bins: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/lib.rs:959:17 [INFO] [stdout] | [INFO] [stdout] 959 | learning_rate, [INFO] [stdout] | ^^^^^^^^^^^^^ help: try ignoring the field: `learning_rate: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `max_iterations` [INFO] [stdout] --> src/lib.rs:960:17 [INFO] [stdout] | [INFO] [stdout] 960 | max_iterations, [INFO] [stdout] | ^^^^^^^^^^^^^^ help: try ignoring the field: `max_iterations: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tolerance` [INFO] [stdout] --> src/lib.rs:961:17 [INFO] [stdout] | [INFO] [stdout] 961 | tolerance, [INFO] [stdout] | ^^^^^^^^^ help: try ignoring the field: `tolerance: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `use_adaptive_bins` [INFO] [stdout] --> src/lib.rs:962:17 [INFO] [stdout] | [INFO] [stdout] 962 | use_adaptive_bins, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ help: try ignoring the field: `use_adaptive_bins: _` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated constant `Sigmoid` should have an upper case name [INFO] [stdout] --> src/gpu_calibration.rs:21:15 [INFO] [stdout] | [INFO] [stdout] 21 | pub const Sigmoid: Self = Self; [INFO] [stdout] | ^^^^^^^ help: convert the identifier to upper case: `SIGMOID` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_upper_case_globals)]` (part of `#[warn(nonstandard_style)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 52.83s [INFO] [stderr] warning: the following packages contain code that will be rejected by a future version of Rust: scirs2-core v0.1.0-rc.1 [INFO] [stderr] note: to see what the problems were, use the option `--future-incompat-report`, or run `cargo report future-incompatibilities --id 1` [INFO] running `Command { std: "docker" "inspect" "b8c87445f1717ce529d72066f0f0f27e734adcdd1830f97a86bfcf92d32ec15c", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "b8c87445f1717ce529d72066f0f0f27e734adcdd1830f97a86bfcf92d32ec15c", kill_on_drop: false }` [INFO] [stdout] b8c87445f1717ce529d72066f0f0f27e734adcdd1830f97a86bfcf92d32ec15c