[INFO] fetching crate sklears-decomposition 0.1.0-alpha.1...
[INFO] checking sklears-decomposition-0.1.0-alpha.1 against master#bad50269f8eb0fda214f0478c3afb2c6fbb427fd for pr-149195-1
[INFO] extracting crate sklears-decomposition 0.1.0-alpha.1 into /workspace/builds/worker-1-tc1/source
[INFO] started tweaking crates.io crate sklears-decomposition 0.1.0-alpha.1
[INFO] removed 0 missing examples
[INFO] finished tweaking crates.io crate sklears-decomposition 0.1.0-alpha.1
[INFO] tweaked toml for crates.io crate sklears-decomposition 0.1.0-alpha.1 written to /workspace/builds/worker-1-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate sklears-decomposition 0.1.0-alpha.1 on toolchain bad50269f8eb0fda214f0478c3afb2c6fbb427fd
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate sklears-decomposition 0.1.0-alpha.1 already has a lockfile, it will not be regenerated
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
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[INFO] [stdout] warning: ambiguous glob re-exports
[INFO] [stdout]    --> src/lib.rs:112:9
[INFO] [stdout]     |
[INFO] [stdout] 112 | pub use modular_framework::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ the name `DecompositionAlgorithm` in the type namespace is first re-exported here
[INFO] [stdout] ...
[INFO] [stdout] 129 | pub use validation::*;
[INFO] [stdout]     |         ------------- but the name `DecompositionAlgorithm` in the type namespace is also re-exported here
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(ambiguous_glob_reexports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: ambiguous glob re-exports
[INFO] [stdout]    --> src/lib.rs:112:9
[INFO] [stdout]     |
[INFO] [stdout] 112 | pub use modular_framework::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ the name `DecompositionPipeline` in the type namespace is first re-exported here
[INFO] [stdout] ...
[INFO] [stdout] 128 | pub use type_safe::*;
[INFO] [stdout]     |         ------------ but the name `DecompositionPipeline` in the type namespace is also re-exported here
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: ambiguous glob re-exports
[INFO] [stdout]    --> src/lib.rs:123:9
[INFO] [stdout]     |
[INFO] [stdout] 123 | pub use sklearn_compat::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^ the name `ParameterValue` in the type namespace is first re-exported here
[INFO] [stdout] ...
[INFO] [stdout] 129 | pub use validation::*;
[INFO] [stdout]     |         ------------- but the name `ParameterValue` in the type namespace is also re-exported here
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: ambiguous glob re-exports
[INFO] [stdout]    --> src/lib.rs:112:9
[INFO] [stdout]     |
[INFO] [stdout] 112 | pub use modular_framework::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ the name `DecompositionAlgorithm` in the type namespace is first re-exported here
[INFO] [stdout] ...
[INFO] [stdout] 129 | pub use validation::*;
[INFO] [stdout]     |         ------------- but the name `DecompositionAlgorithm` in the type namespace is also re-exported here
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(ambiguous_glob_reexports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: ambiguous glob re-exports
[INFO] [stdout]    --> src/lib.rs:112:9
[INFO] [stdout]     |
[INFO] [stdout] 112 | pub use modular_framework::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^ the name `DecompositionPipeline` in the type namespace is first re-exported here
[INFO] [stdout] ...
[INFO] [stdout] 128 | pub use type_safe::*;
[INFO] [stdout]     |         ------------ but the name `DecompositionPipeline` in the type namespace is also re-exported here
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: ambiguous glob re-exports
[INFO] [stdout]    --> src/lib.rs:123:9
[INFO] [stdout]     |
[INFO] [stdout] 123 | pub use sklearn_compat::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^ the name `ParameterValue` in the type namespace is first re-exported here
[INFO] [stdout] ...
[INFO] [stdout] 129 | pub use validation::*;
[INFO] [stdout]     |         ------------- but the name `ParameterValue` in the type namespace is also re-exported here
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `traits::Fit`
[INFO] [stdout]  --> src/type_safe.rs:7:58
[INFO] [stdout]   |
[INFO] [stdout] 7 | use sklears_core::{error::Result, prelude::SklearsError, traits::Fit, types::Float};
[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: `Transform`
[INFO] [stdout]   --> src/sklearn_compat.rs:19:19
[INFO] [stdout]    |
[INFO] [stdout] 19 |     traits::{Fit, Transform},
[INFO] [stdout]    |                   ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Fit`
[INFO] [stdout]   --> src/sklearn_compat.rs:19:14
[INFO] [stdout]    |
[INFO] [stdout] 19 |     traits::{Fit, Transform},
[INFO] [stdout]    |              ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]   --> src/signal_processing/spectral_decomposition.rs:39:5
[INFO] [stdout]    |
[INFO] [stdout] 39 | use scirs2_core::random::Rng;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]    --> src/component_selection.rs:183:18
[INFO] [stdout]     |
[INFO] [stdout] 183 |             Some(seed) => thread_rng(), // TODO: use seeded rng when available
[INFO] [stdout]     |                  ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]    --> src/component_selection.rs:442:18
[INFO] [stdout]     |
[INFO] [stdout] 442 |             Some(seed) => thread_rng(), // TODO: use seeded rng when available
[INFO] [stdout]     |                  ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]    --> src/component_selection.rs:980:18
[INFO] [stdout]     |
[INFO] [stdout] 980 |             Some(seed) => thread_rng(), // TODO: use seeded rng when available
[INFO] [stdout]     |                  ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/dictionary_learning/dictionary_learning_core.rs:116:14
[INFO] [stdout]     |
[INFO] [stdout] 116 |         let (n_samples, n_features) = x.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `signal`
[INFO] [stdout]   --> src/dictionary_learning/lars_algorithms.rs:68:54
[INFO] [stdout]    |
[INFO] [stdout] 68 |     pub fn encode(&self, dictionary: &Array2<Float>, signal: &Array1<Float>) -> Result<LARSResult> {
[INFO] [stdout]    |                                                      ^^^^^^ help: if this is intentional, prefix it with an underscore: `_signal`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `signal`
[INFO] [stdout]   --> src/dictionary_learning/coordinate_descent.rs:78:54
[INFO] [stdout]    |
[INFO] [stdout] 78 |     pub fn encode(&self, dictionary: &Array2<Float>, signal: &Array1<Float>) -> Result<CDResult> {
[INFO] [stdout]    |                                                      ^^^^^^ help: if this is intentional, prefix it with an underscore: `_signal`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]   --> src/dictionary_learning/ksvd_algorithms.rs:62:25
[INFO] [stdout]    |
[INFO] [stdout] 62 |         let (n_samples, n_features) = data.dim();
[INFO] [stdout]    |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]   --> src/dictionary_learning/dictionary_update.rs:62:9
[INFO] [stdout]    |
[INFO] [stdout] 62 |         data: &Array2<Float>,
[INFO] [stdout]    |         ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `codes`
[INFO] [stdout]   --> src/dictionary_learning/dictionary_update.rs:63:9
[INFO] [stdout]    |
[INFO] [stdout] 63 |         codes: &Array2<Float>,
[INFO] [stdout]    |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_codes`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]   --> src/dictionary_learning/dictionary_initialization.rs:75:9
[INFO] [stdout]    |
[INFO] [stdout] 75 |         data: Option<&Array2<Float>>,
[INFO] [stdout]    |         ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `traits::Fit`
[INFO] [stdout]  --> src/type_safe.rs:7:58
[INFO] [stdout]   |
[INFO] [stdout] 7 | use sklears_core::{error::Result, prelude::SklearsError, traits::Fit, types::Float};
[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: `Transform`
[INFO] [stdout]   --> src/sklearn_compat.rs:19:19
[INFO] [stdout]    |
[INFO] [stdout] 19 |     traits::{Fit, Transform},
[INFO] [stdout]    |                   ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Fit`
[INFO] [stdout]   --> src/sklearn_compat.rs:19:14
[INFO] [stdout]    |
[INFO] [stdout] 19 |     traits::{Fit, Transform},
[INFO] [stdout]    |              ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `scirs2_core::random::Rng`
[INFO] [stdout]   --> src/signal_processing/spectral_decomposition.rs:39:5
[INFO] [stdout]    |
[INFO] [stdout] 39 | use scirs2_core::random::Rng;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/distributed.rs:239:25
[INFO] [stdout]     |
[INFO] [stdout] 239 |         let (n_samples, n_features) = centered_data.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]    --> src/component_selection.rs:183:18
[INFO] [stdout]     |
[INFO] [stdout] 183 |             Some(seed) => thread_rng(), // TODO: use seeded rng when available
[INFO] [stdout]     |                  ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]    --> src/component_selection.rs:442:18
[INFO] [stdout]     |
[INFO] [stdout] 442 |             Some(seed) => thread_rng(), // TODO: use seeded rng when available
[INFO] [stdout]     |                  ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]    --> src/component_selection.rs:980:18
[INFO] [stdout]     |
[INFO] [stdout] 980 |             Some(seed) => thread_rng(), // TODO: use seeded rng when available
[INFO] [stdout]     |                  ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/dictionary_learning/dictionary_learning_core.rs:116:14
[INFO] [stdout]     |
[INFO] [stdout] 116 |         let (n_samples, n_features) = x.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]   --> src/modular_framework.rs:46:33
[INFO] [stdout]    |
[INFO] [stdout] 46 |     fn inverse_transform(&self, data: &Array2<Float>) -> Result<Array2<Float>> {
[INFO] [stdout]    |                                 ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]    --> src/modular_framework.rs:183:31
[INFO] [stdout]     |
[INFO] [stdout] 183 |     fn inverse_process(&self, data: &Array2<Float>) -> Result<Array2<Float>> {
[INFO] [stdout]     |                               ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `signal`
[INFO] [stdout]   --> src/dictionary_learning/lars_algorithms.rs:68:54
[INFO] [stdout]    |
[INFO] [stdout] 68 |     pub fn encode(&self, dictionary: &Array2<Float>, signal: &Array1<Float>) -> Result<LARSResult> {
[INFO] [stdout]    |                                                      ^^^^^^ help: if this is intentional, prefix it with an underscore: `_signal`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `signal`
[INFO] [stdout]   --> src/dictionary_learning/coordinate_descent.rs:78:54
[INFO] [stdout]    |
[INFO] [stdout] 78 |     pub fn encode(&self, dictionary: &Array2<Float>, signal: &Array1<Float>) -> Result<CDResult> {
[INFO] [stdout]    |                                                      ^^^^^^ help: if this is intentional, prefix it with an underscore: `_signal`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]   --> src/dictionary_learning/ksvd_algorithms.rs:62:25
[INFO] [stdout]    |
[INFO] [stdout] 62 |         let (n_samples, n_features) = data.dim();
[INFO] [stdout]    |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_centered`
[INFO] [stdout]    --> src/pca.rs:112:13
[INFO] [stdout]     |
[INFO] [stdout] 112 |         let x_centered = x - &mean.clone().insert_axis(Axis(0));
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_centered`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]   --> src/dictionary_learning/dictionary_update.rs:62:9
[INFO] [stdout]    |
[INFO] [stdout] 62 |         data: &Array2<Float>,
[INFO] [stdout]    |         ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `codes`
[INFO] [stdout]   --> src/dictionary_learning/dictionary_update.rs:63:9
[INFO] [stdout]    |
[INFO] [stdout] 63 |         codes: &Array2<Float>,
[INFO] [stdout]    |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_codes`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `g_prime_mean` is assigned to, but never used
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:535:13
[INFO] [stdout]     |
[INFO] [stdout] 535 |         let mut g_prime_mean = 0.0;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_g_prime_mean` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `g_prime_mean` is never read
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:543:21
[INFO] [stdout]     |
[INFO] [stdout] 543 |                     g_prime_mean += 1.0 - u.tanh().powi(2);
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `g_prime_mean` is never read
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:551:21
[INFO] [stdout]     |
[INFO] [stdout] 551 |                     g_prime_mean += (1.0 - u * u) * exp_term;
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `g_prime_mean` is never read
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:563:9
[INFO] [stdout]     |
[INFO] [stdout] 563 |         g_prime_mean /= n_samples as f64;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `g_prime_mean` is never read
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:558:21
[INFO] [stdout]     |
[INFO] [stdout] 558 |                     g_prime_mean += 3.0 * u * u;
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]   --> src/dictionary_learning/dictionary_initialization.rs:75:9
[INFO] [stdout]    |
[INFO] [stdout] 75 |         data: Option<&Array2<Float>>,
[INFO] [stdout]    |         ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cov`
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:898:13
[INFO] [stdout]     |
[INFO] [stdout] 898 |         let cov = x.dot(&x.t()) / (n_samples - 1) as Float;
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]     --> src/signal_processing/blind_source_separation.rs:1479:25
[INFO] [stdout]      |
[INFO] [stdout] 1479 |         let (n_sources, n_samples) = self.sources.dim();
[INFO] [stdout]      |                         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/distributed.rs:239:25
[INFO] [stdout]     |
[INFO] [stdout] 239 |         let (n_samples, n_features) = centered_data.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `signal_mean`
[INFO] [stdout]    --> src/signal_processing/multivariate_emd.rs:215:17
[INFO] [stdout]     |
[INFO] [stdout] 215 |             let signal_mean = channel_signal.mean().unwrap_or(0.0);
[INFO] [stdout]     |                 ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_signal_mean`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `signal_length`
[INFO] [stdout]    --> src/signal_processing/spectral_decomposition.rs:220:26
[INFO] [stdout]     |
[INFO] [stdout] 220 |         let (n_channels, signal_length) = signals.dim();
[INFO] [stdout]     |                          ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_signal_length`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `level`
[INFO] [stdout]    --> src/signal_processing/wavelet_transform.rs:242:13
[INFO] [stdout]     |
[INFO] [stdout] 242 |         for level in 0..self.levels {
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_level`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]   --> src/sklearn_compat.rs:43:33
[INFO] [stdout]    |
[INFO] [stdout] 43 |     fn inverse_transform(&self, x: &Array2<Float>) -> Result<Array2<Float>> {
[INFO] [stdout]    |                                 ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `u`
[INFO] [stdout]    --> src/sklearn_compat.rs:283:14
[INFO] [stdout]     |
[INFO] [stdout] 283 |         let (u, s, vt) = self.compute_svd(&centered_data, n_components)?;
[INFO] [stdout]     |              ^ help: if this is intentional, prefix it with an underscore: `_u`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s_dec`
[INFO] [stdout]    --> src/memory_efficiency.rs:671:21
[INFO] [stdout]     |
[INFO] [stdout] 671 |         let (u_dec, s_dec, vt_dec) = compressed.decompress().unwrap();
[INFO] [stdout]     |                     ^^^^^ help: if this is intentional, prefix it with an underscore: `_s_dec`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]   --> src/modular_framework.rs:46:33
[INFO] [stdout]    |
[INFO] [stdout] 46 |     fn inverse_transform(&self, data: &Array2<Float>) -> Result<Array2<Float>> {
[INFO] [stdout]    |                                 ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]    --> src/modular_framework.rs:183:31
[INFO] [stdout]     |
[INFO] [stdout] 183 |     fn inverse_process(&self, data: &Array2<Float>) -> Result<Array2<Float>> {
[INFO] [stdout]     |                               ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_centered`
[INFO] [stdout]    --> src/pca.rs:112:13
[INFO] [stdout]     |
[INFO] [stdout] 112 |         let x_centered = x - &mean.clone().insert_axis(Axis(0));
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_centered`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `best_method`
[INFO] [stdout]    --> src/quality_metrics.rs:895:14
[INFO] [stdout]     |
[INFO] [stdout] 895 |         let (best_method, best_score) = analysis.best_method().unwrap();
[INFO] [stdout]     |              ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_best_method`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `config`
[INFO] [stdout]     --> src/robust_methods.rs:1052:13
[INFO] [stdout]      |
[INFO] [stdout] 1052 |         let config = RobustConfig::default();
[INFO] [stdout]      |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_config`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `g_prime_mean` is assigned to, but never used
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:535:13
[INFO] [stdout]     |
[INFO] [stdout] 535 |         let mut g_prime_mean = 0.0;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_g_prime_mean` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `g_prime_mean` is never read
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:543:21
[INFO] [stdout]     |
[INFO] [stdout] 543 |                     g_prime_mean += 1.0 - u.tanh().powi(2);
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `g_prime_mean` is never read
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:551:21
[INFO] [stdout]     |
[INFO] [stdout] 551 |                     g_prime_mean += (1.0 - u * u) * exp_term;
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `g_prime_mean` is never read
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:563:9
[INFO] [stdout]     |
[INFO] [stdout] 563 |         g_prime_mean /= n_samples as f64;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `g_prime_mean` is never read
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:558:21
[INFO] [stdout]     |
[INFO] [stdout] 558 |                     g_prime_mean += 3.0 * u * u;
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cov`
[INFO] [stdout]    --> src/signal_processing/blind_source_separation.rs:898:13
[INFO] [stdout]     |
[INFO] [stdout] 898 |         let cov = x.dot(&x.t()) / (n_samples - 1) as Float;
[INFO] [stdout]     |             ^^^ help: if this is intentional, prefix it with an underscore: `_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]     --> src/signal_processing/blind_source_separation.rs:1479:25
[INFO] [stdout]      |
[INFO] [stdout] 1479 |         let (n_sources, n_samples) = self.sources.dim();
[INFO] [stdout]      |                         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `true_sources`
[INFO] [stdout]     --> src/signal_processing/blind_source_separation.rs:1587:14
[INFO] [stdout]      |
[INFO] [stdout] 1587 |         let (true_sources, mixed_signals) = generate_test_signals(2, 1000);
[INFO] [stdout]      |              ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_true_sources`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `signal_mean`
[INFO] [stdout]    --> src/signal_processing/multivariate_emd.rs:215:17
[INFO] [stdout]     |
[INFO] [stdout] 215 |             let signal_mean = channel_signal.mean().unwrap_or(0.0);
[INFO] [stdout]     |                 ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_signal_mean`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `signal_length`
[INFO] [stdout]    --> src/signal_processing/spectral_decomposition.rs:220:26
[INFO] [stdout]     |
[INFO] [stdout] 220 |         let (n_channels, signal_length) = signals.dim();
[INFO] [stdout]     |                          ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_signal_length`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `level`
[INFO] [stdout]    --> src/signal_processing/wavelet_transform.rs:242:13
[INFO] [stdout]     |
[INFO] [stdout] 242 |         for level in 0..self.levels {
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_level`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]   --> src/sklearn_compat.rs:43:33
[INFO] [stdout]    |
[INFO] [stdout] 43 |     fn inverse_transform(&self, x: &Array2<Float>) -> Result<Array2<Float>> {
[INFO] [stdout]    |                                 ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `u`
[INFO] [stdout]    --> src/sklearn_compat.rs:283:14
[INFO] [stdout]     |
[INFO] [stdout] 283 |         let (u, s, vt) = self.compute_svd(&centered_data, n_components)?;
[INFO] [stdout]     |              ^ help: if this is intentional, prefix it with an underscore: `_u`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: comparison is useless due to type limits
[INFO] [stdout]    --> src/cache_optimization.rs:766:17
[INFO] [stdout]     |
[INFO] [stdout] 766 |         assert!(miss_estimate.l1_misses >= 0);
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_comparisons)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: comparison is useless due to type limits
[INFO] [stdout]     --> src/component_selection.rs:1188:17
[INFO] [stdout]      |
[INFO] [stdout] 1188 |         assert!(result.optimal_components >= 0);
[INFO] [stdout]      |                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 2m 16s
[INFO] running `Command { std: "docker" "inspect" "5a4032481f80ce098e537cbe9031829c17a72c4f98dde97e28238ed5b8428515", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "5a4032481f80ce098e537cbe9031829c17a72c4f98dde97e28238ed5b8428515", kill_on_drop: false }`
[INFO] [stdout] 5a4032481f80ce098e537cbe9031829c17a72c4f98dde97e28238ed5b8428515
