[INFO] fetching crate sklears-impute 0.1.0-alpha.1...
[INFO] checking sklears-impute-0.1.0-alpha.1 against master#bad50269f8eb0fda214f0478c3afb2c6fbb427fd for pr-149195-1
[INFO] extracting crate sklears-impute 0.1.0-alpha.1 into /workspace/builds/worker-0-tc1/source
[INFO] started tweaking crates.io crate sklears-impute 0.1.0-alpha.1
[INFO] removed 0 missing examples
[INFO] finished tweaking crates.io crate sklears-impute 0.1.0-alpha.1
[INFO] tweaked toml for crates.io crate sklears-impute 0.1.0-alpha.1 written to /workspace/builds/worker-0-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate sklears-impute 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-impute 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 }`
[INFO] [stderr]     Updating crates.io index
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[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:94a0c148923f5b2b52a63ef0eeb1882ad339ab61bce784c8077cbe41c61feb6c" "/opt/rustwide/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] 1cc2283640c8763c108c74bde98e3ef676ac9c8e68d4a0774eca73c0a2420b4d
[INFO] running `Command { std: "docker" "start" "-a" "1cc2283640c8763c108c74bde98e3ef676ac9c8e68d4a0774eca73c0a2420b4d", kill_on_drop: false }`
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[INFO] running `Command { std: "docker" "rm" "-f" "1cc2283640c8763c108c74bde98e3ef676ac9c8e68d4a0774eca73c0a2420b4d", kill_on_drop: false }`
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[INFO] [stdout] 862b920c569314b206367412084a04fde09ef0bf28e875f331ff8367053e885d
[INFO] running `Command { std: "docker" "start" "-a" "862b920c569314b206367412084a04fde09ef0bf28e875f331ff8367053e885d", kill_on_drop: false }`
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[INFO] [stderr]     Checking sklears-impute v0.1.0-alpha.1 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused doc comment
[INFO] [stdout]     --> src/mixed_type.rs:1129:21
[INFO] [stdout]      |
[INFO] [stdout] 1129 |                     /// X_imputed
[INFO] [stdout]      |                     ^^^^^^^^^^^^^
[INFO] [stdout] 1130 |                     X_imputed,
[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/mixed_type.rs:1129:21
[INFO] [stdout]      |
[INFO] [stdout] 1129 |                     /// X_imputed
[INFO] [stdout]      |                     ^^^^^^^^^^^^^
[INFO] [stdout] 1130 |                     X_imputed,
[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: `rayon::prelude`
[INFO] [stdout]   --> src/sampling.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 11 | 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: `Rng`
[INFO] [stdout]  --> src/simple.rs:8:35
[INFO] [stdout]   |
[INFO] [stdout] 8 | use scirs2_core::random::{Random, Rng};
[INFO] [stdout]   |                                   ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Estimator`
[INFO] [stdout]  --> src/fluent_api.rs:9:14
[INFO] [stdout]   |
[INFO] [stdout] 9 |     traits::{Estimator, Fit, Transform},
[INFO] [stdout]   |              ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Rng`
[INFO] [stdout]     --> src/independence.rs:1477:39
[INFO] [stdout]      |
[INFO] [stdout] 1477 |     use scirs2_core::random::{Random, Rng};
[INFO] [stdout]      |                                       ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `sklears_core::traits::Estimator`
[INFO] [stdout]   --> src/testing_pipeline.rs:17:5
[INFO] [stdout]    |
[INFO] [stdout] 17 | use sklears_core::traits::Estimator;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/approximate.rs:318:25
[INFO] [stdout]     |
[INFO] [stdout] 318 |             .for_each(|(i, mut row)| {
[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: `n_samples`
[INFO] [stdout]    --> src/approximate.rs:302:14
[INFO] [stdout]     |
[INFO] [stdout] 302 |         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: `i`
[INFO] [stdout]    --> src/approximate.rs:644:14
[INFO] [stdout]     |
[INFO] [stdout] 644 |         for (i, (&x1, &x2)) in row1.iter().zip(row2.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_samples`
[INFO] [stdout]    --> src/approximate.rs:820:14
[INFO] [stdout]     |
[INFO] [stdout] 820 |         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: `seed`
[INFO] [stdout]    --> src/benchmarks.rs:119:35
[INFO] [stdout]     |
[INFO] [stdout] 119 |         let mut rng = if let Some(seed) = self.random_state {
[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/benchmarks.rs:149:35
[INFO] [stdout]     |
[INFO] [stdout] 149 |         let mut rng = if let Some(seed) = self.random_state {
[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/benchmarks.rs:175:35
[INFO] [stdout]     |
[INFO] [stdout] 175 |         let mut rng = if let Some(seed) = self.random_state {
[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/benchmarks.rs:233:35
[INFO] [stdout]     |
[INFO] [stdout] 233 |         let mut rng = if let Some(seed) = self.random_state {
[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/dimensionality/ica.rs:109:14
[INFO] [stdout]     |
[INFO] [stdout] 109 |         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: `explained_variance`
[INFO] [stdout]    --> src/dimensionality/pca.rs:163:17
[INFO] [stdout]     |
[INFO] [stdout] 163 |             let explained_variance = eigenvalues.slice(s![..self.n_components]).to_owned();
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_explained_variance`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/dimensionality/sparse.rs:262:14
[INFO] [stdout]     |
[INFO] [stdout] 262 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/distributed.rs:431:14
[INFO] [stdout]     |
[INFO] [stdout] 431 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/distributed.rs:456:25
[INFO] [stdout]     |
[INFO] [stdout] 456 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `missing_values`
[INFO] [stdout]    --> src/distributed.rs:510:13
[INFO] [stdout]     |
[INFO] [stdout] 510 |         let missing_values = self.missing_values;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_missing_values`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `gene_var`
[INFO] [stdout]    --> src/domain_specific/bioinformatics.rs:202:21
[INFO] [stdout]     |
[INFO] [stdout] 202 |                 let gene_var = gene_values
[INFO] [stdout]     |                     ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gene_var`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]     --> src/domain_specific/bioinformatics.rs:1043:14
[INFO] [stdout]      |
[INFO] [stdout] 1043 |         let (n_samples, n_metabolites) = 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: `q25`
[INFO] [stdout]     --> src/domain_specific/bioinformatics.rs:1122:17
[INFO] [stdout]      |
[INFO] [stdout] 1122 |             let q25 = self.quantile(&sorted_values, 0.25);
[INFO] [stdout]      |                 ^^^ help: if this is intentional, prefix it with an underscore: `_q25`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/domain_specific/finance.rs:230:14
[INFO] [stdout]     |
[INFO] [stdout] 230 |         for (i, &ret) in returns.iter().enumerate() {
[INFO] [stdout]     |              ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `returns`
[INFO] [stdout]    --> src/domain_specific/finance.rs:456:9
[INFO] [stdout]     |
[INFO] [stdout] 456 |         returns: &[f64],
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_returns`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_assets`
[INFO] [stdout]    --> src/domain_specific/finance.rs:752:22
[INFO] [stdout]     |
[INFO] [stdout] 752 |         let (n_time, n_assets) = X.dim();
[INFO] [stdout]     |                      ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_assets`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cov_matrix`
[INFO] [stdout]    --> src/domain_specific/finance.rs:947:13
[INFO] [stdout]     |
[INFO] [stdout] 947 |         let cov_matrix = centered_data.t().dot(&centered_data) / (n_time - 1) as f64;
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_cov_matrix`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]     --> src/domain_specific/finance.rs:1352:14
[INFO] [stdout]      |
[INFO] [stdout] 1352 |         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: `response_patterns`
[INFO] [stdout]   --> src/domain_specific/social_science.rs:68:13
[INFO] [stdout]    |
[INFO] [stdout] 68 |         let response_patterns = self.analyze_response_patterns(X)?;
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_response_patterns`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_questions`
[INFO] [stdout]    --> src/domain_specific/social_science.rs:175:29
[INFO] [stdout]     |
[INFO] [stdout] 175 |         let (n_respondents, n_questions) = X.dim();
[INFO] [stdout]     |                             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_questions`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_questions`
[INFO] [stdout]    --> src/domain_specific/social_science.rs:306:29
[INFO] [stdout]     |
[INFO] [stdout] 306 |         let (n_respondents, n_questions) = X.dim();
[INFO] [stdout]     |                             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_questions`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `common_responses` is assigned to, but never used
[INFO] [stdout]    --> src/domain_specific/social_science.rs:334:13
[INFO] [stdout]     |
[INFO] [stdout] 334 |         let mut common_responses = 0;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_common_responses` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `common_responses` is never read
[INFO] [stdout]    --> src/domain_specific/social_science.rs:341:17
[INFO] [stdout]     |
[INFO] [stdout] 341 |                 common_responses += 1;
[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: `stratum_name`
[INFO] [stdout]    --> src/domain_specific/social_science.rs:412:14
[INFO] [stdout]     |
[INFO] [stdout] 412 |         for (stratum_name, stratum_indices) in &self.demographic_strata {
[INFO] [stdout]     |              ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_stratum_name`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `attrition_patterns`
[INFO] [stdout]    --> src/domain_specific/social_science.rs:857:13
[INFO] [stdout]     |
[INFO] [stdout] 857 |         let attrition_patterns = self.identify_attrition_patterns(&X.view(), subject_groups)?;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_attrition_patterns`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_nodes`
[INFO] [stdout]     --> src/domain_specific/social_science.rs:1290:13
[INFO] [stdout]      |
[INFO] [stdout] 1290 |         let n_nodes = X.nrows();
[INFO] [stdout]      |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_nodes`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `stratum_name`
[INFO] [stdout]     --> src/domain_specific/social_science.rs:1472:14
[INFO] [stdout]      |
[INFO] [stdout] 1472 |         for (stratum_name, individual_indices) in &self.population_strata {
[INFO] [stdout]      |              ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_stratum_name`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `benchmark_name`
[INFO] [stdout]     --> src/domain_specific/social_science.rs:1562:14
[INFO] [stdout]      |
[INFO] [stdout] 1562 |         for (benchmark_name, target_value) in benchmarks {
[INFO] [stdout]      |              ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_benchmark_name`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/ensemble.rs:468:25
[INFO] [stdout]     |
[INFO] [stdout] 468 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `json`
[INFO] [stdout]    --> src/fluent_api.rs:905:22
[INFO] [stdout]     |
[INFO] [stdout] 905 |     pub fn from_json(json: &str) -> SklResult<Self> {
[INFO] [stdout]     |                      ^^^^ help: if this is intentional, prefix it with an underscore: `_json`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/fluent_api.rs:1036:35
[INFO] [stdout]      |
[INFO] [stdout] 1036 |         fn partial_fit(&mut self, X: &ArrayView2<Float>) -> SklResult<()> {
[INFO] [stdout]      |                                   ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Rng`
[INFO] [stdout]  --> src/simple.rs:8:35
[INFO] [stdout]   |
[INFO] [stdout] 8 | use scirs2_core::random::{Random, Rng};
[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: `Estimator`
[INFO] [stdout]  --> src/fluent_api.rs:9:14
[INFO] [stdout]   |
[INFO] [stdout] 9 |     traits::{Estimator, Fit, Transform},
[INFO] [stdout]   |              ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Rng`
[INFO] [stdout]     --> src/independence.rs:1477:39
[INFO] [stdout]      |
[INFO] [stdout] 1477 |     use scirs2_core::random::{Random, Rng};
[INFO] [stdout]      |                                       ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rayon::prelude`
[INFO] [stdout]   --> src/sampling.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 11 | use rayon::prelude::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `sklears_core::traits::Estimator`
[INFO] [stdout]   --> src/testing_pipeline.rs:17:5
[INFO] [stdout]    |
[INFO] [stdout] 17 | use sklears_core::traits::Estimator;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]     --> src/independence.rs:1081:10
[INFO] [stdout]      |
[INFO] [stdout] 1081 |     let (n_samples, n_features) = X.dim();
[INFO] [stdout]      |          ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]     --> src/independence.rs:1081:21
[INFO] [stdout]      |
[INFO] [stdout] 1081 |     let (n_samples, n_features) = X.dim();
[INFO] [stdout]      |                     ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/approximate.rs:318:25
[INFO] [stdout]     |
[INFO] [stdout] 318 |             .for_each(|(i, mut row)| {
[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: `n_samples`
[INFO] [stdout]    --> src/approximate.rs:302:14
[INFO] [stdout]     |
[INFO] [stdout] 302 |         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: `i`
[INFO] [stdout]    --> src/approximate.rs:644:14
[INFO] [stdout]     |
[INFO] [stdout] 644 |         for (i, (&x1, &x2)) in row1.iter().zip(row2.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_samples`
[INFO] [stdout]    --> src/approximate.rs:820:14
[INFO] [stdout]     |
[INFO] [stdout] 820 |         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: `global_feat_idx`
[INFO] [stdout]     --> src/information_theoretic.rs:1552:21
[INFO] [stdout]      |
[INFO] [stdout] 1552 |     for (feat_idx, &global_feat_idx) in feature_indices.iter().enumerate() {
[INFO] [stdout]      |                     ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_global_feat_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]    --> src/benchmarks.rs:119:35
[INFO] [stdout]     |
[INFO] [stdout] 119 |         let mut rng = if let Some(seed) = self.random_state {
[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/benchmarks.rs:149:35
[INFO] [stdout]     |
[INFO] [stdout] 149 |         let mut rng = if let Some(seed) = self.random_state {
[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/benchmarks.rs:175:35
[INFO] [stdout]     |
[INFO] [stdout] 175 |         let mut rng = if let Some(seed) = self.random_state {
[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/benchmarks.rs:233:35
[INFO] [stdout]     |
[INFO] [stdout] 233 |         let mut rng = if let Some(seed) = self.random_state {
[INFO] [stdout]     |                                   ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data_mcar`
[INFO] [stdout]    --> src/benchmarks.rs:917:14
[INFO] [stdout]     |
[INFO] [stdout] 917 |         let (data_mcar, mask_mcar) = generator.introduce_missing(&data, &mcar_pattern).unwrap();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_data_mcar`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data_mar`
[INFO] [stdout]    --> src/benchmarks.rs:927:14
[INFO] [stdout]     |
[INFO] [stdout] 927 |         let (data_mar, mask_mar) = generator.introduce_missing(&data, &mar_pattern).unwrap();
[INFO] [stdout]     |              ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_data_mar`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data_block`
[INFO] [stdout]    --> src/benchmarks.rs:936:14
[INFO] [stdout]     |
[INFO] [stdout] 936 |         let (data_block, mask_block) = generator.introduce_missing(&data, &block_pattern).unwrap();
[INFO] [stdout]     |              ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_data_block`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `zero_probability`
[INFO] [stdout]    --> src/mixed_type.rs:379:44
[INFO] [stdout]     |
[INFO] [stdout] 379 |             VariableType::SemiContinuous { zero_probability } => {
[INFO] [stdout]     |                                            ^^^^^^^^^^^^^^^^ help: try ignoring the field: `zero_probability: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prev_X`
[INFO] [stdout]    --> src/mixed_type.rs:466:17
[INFO] [stdout]     |
[INFO] [stdout] 466 |             let prev_X = X_imputed.clone();
[INFO] [stdout]     |                 ^^^^^^ help: if this is intentional, prefix it with an underscore: `_prev_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/dimensionality/ica.rs:109:14
[INFO] [stdout]     |
[INFO] [stdout] 109 |         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: `seed`
[INFO] [stdout]    --> src/mixed_type.rs:982:40
[INFO] [stdout]     |
[INFO] [stdout] 982 |         let mut base_rng = if let Some(seed) = self.random_state {
[INFO] [stdout]     |                                        ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `m`
[INFO] [stdout]    --> src/mixed_type.rs:988:13
[INFO] [stdout]     |
[INFO] [stdout] 988 |         for m in 0..self.n_imputations {
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_m`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]     --> src/mixed_type.rs:1008:59
[INFO] [stdout]      |
[INFO] [stdout] 1008 |     fn generate_single_imputation(&self, X: &Array2<f64>, seed: u64) -> SklResult<Array2<f64>> {
[INFO] [stdout]      |                                                           ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `explained_variance`
[INFO] [stdout]    --> src/dimensionality/pca.rs:163:17
[INFO] [stdout]     |
[INFO] [stdout] 163 |             let explained_variance = eigenvalues.slice(s![..self.n_components]).to_owned();
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_explained_variance`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `M1`
[INFO] [stdout]    --> src/multivariate.rs:341:13
[INFO] [stdout]     |
[INFO] [stdout] 341 |         let M1 = Cxx_inv.dot(Cxy).dot(&Cyy_inv).dot(&Cxy.t());
[INFO] [stdout]     |             ^^ help: if this is intentional, prefix it with an underscore: `_M1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `M2`
[INFO] [stdout]    --> src/multivariate.rs:342:13
[INFO] [stdout]     |
[INFO] [stdout] 342 |         let M2 = Cyy_inv.dot(&Cxy.t()).dot(&Cxx_inv).dot(Cxy);
[INFO] [stdout]     |             ^^ help: if this is intentional, prefix it with an underscore: `_M2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/dimensionality/sparse.rs:262:14
[INFO] [stdout]     |
[INFO] [stdout] 262 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/distributed.rs:431:14
[INFO] [stdout]     |
[INFO] [stdout] 431 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/distributed.rs:456:25
[INFO] [stdout]     |
[INFO] [stdout] 456 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `missing_values`
[INFO] [stdout]    --> src/distributed.rs:510:13
[INFO] [stdout]     |
[INFO] [stdout] 510 |         let missing_values = self.missing_values;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_missing_values`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/out_of_core.rs:505:25
[INFO] [stdout]     |
[INFO] [stdout] 505 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/out_of_core.rs:515:19
[INFO] [stdout]     |
[INFO] [stdout] 515 |             for ((i, j), value) in chunk.indexed_iter_mut() {
[INFO] [stdout]     |                   ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/out_of_core.rs:527:14
[INFO] [stdout]     |
[INFO] [stdout] 527 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/out_of_core.rs:527:25
[INFO] [stdout]     |
[INFO] [stdout] 527 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/out_of_core.rs:785:25
[INFO] [stdout]     |
[INFO] [stdout] 785 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `row_idx`
[INFO] [stdout]    --> src/out_of_core.rs:795:18
[INFO] [stdout]     |
[INFO] [stdout] 795 |             for (row_idx, mut row) in chunk.rows_mut().into_iter().enumerate() {
[INFO] [stdout]     |                  ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_row_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/out_of_core.rs:822:14
[INFO] [stdout]     |
[INFO] [stdout] 822 |         for (i, mut row) in X_imputed.rows_mut().into_iter().enumerate() {
[INFO] [stdout]     |              ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `chunk_id`
[INFO] [stdout]     --> src/out_of_core.rs:1088:40
[INFO] [stdout]      |
[INFO] [stdout] 1088 |     fn load_chunk_from_disk(&mut self, chunk_id: usize) -> Result<(), ImputationError> {
[INFO] [stdout]      |                                        ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_chunk_id`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `chunk`
[INFO] [stdout]     --> src/out_of_core.rs:1096:35
[INFO] [stdout]      |
[INFO] [stdout] 1096 |     fn write_chunk_to_disk(&self, chunk: &OutOfCoreChunk) -> Result<(), ImputationError> {
[INFO] [stdout]      |                                   ^^^^^ help: if this is intentional, prefix it with an underscore: `_chunk`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `gene_var`
[INFO] [stdout]    --> src/domain_specific/bioinformatics.rs:202:21
[INFO] [stdout]     |
[INFO] [stdout] 202 |                 let gene_var = gene_values
[INFO] [stdout]     |                     ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gene_var`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/parallel.rs:146:14
[INFO] [stdout]     |
[INFO] [stdout] 146 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/parallel.rs:416:14
[INFO] [stdout]     |
[INFO] [stdout] 416 |         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: `iteration`
[INFO] [stdout]    --> src/parallel.rs:430:13
[INFO] [stdout]     |
[INFO] [stdout] 430 |         for iteration in 0..self.max_iter {
[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/parallel.rs:483:15
[INFO] [stdout]     |
[INFO] [stdout] 483 |         for ((i, j), value) in X_imputed.indexed_iter_mut() {
[INFO] [stdout]     |               ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]     --> src/domain_specific/bioinformatics.rs:1043:14
[INFO] [stdout]      |
[INFO] [stdout] 1043 |         let (n_samples, n_metabolites) = 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: `q25`
[INFO] [stdout]     --> src/domain_specific/bioinformatics.rs:1122:17
[INFO] [stdout]      |
[INFO] [stdout] 1122 |             let q25 = self.quantile(&sorted_values, 0.25);
[INFO] [stdout]      |                 ^^^ help: if this is intentional, prefix it with an underscore: `_q25`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/domain_specific/finance.rs:230:14
[INFO] [stdout]     |
[INFO] [stdout] 230 |         for (i, &ret) in returns.iter().enumerate() {
[INFO] [stdout]     |              ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `returns`
[INFO] [stdout]    --> src/domain_specific/finance.rs:456:9
[INFO] [stdout]     |
[INFO] [stdout] 456 |         returns: &[f64],
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_returns`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_assets`
[INFO] [stdout]    --> src/domain_specific/finance.rs:752:22
[INFO] [stdout]     |
[INFO] [stdout] 752 |         let (n_time, n_assets) = X.dim();
[INFO] [stdout]     |                      ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_assets`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cov_matrix`
[INFO] [stdout]    --> src/domain_specific/finance.rs:947:13
[INFO] [stdout]     |
[INFO] [stdout] 947 |         let cov_matrix = centered_data.t().dot(&centered_data) / (n_time - 1) as f64;
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_cov_matrix`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/sampling.rs:307:14
[INFO] [stdout]     |
[INFO] [stdout] 307 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]     --> src/domain_specific/finance.rs:1352:14
[INFO] [stdout]      |
[INFO] [stdout] 1352 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]      |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/sampling.rs:763:14
[INFO] [stdout]     |
[INFO] [stdout] 763 |         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: `response_patterns`
[INFO] [stdout]   --> src/domain_specific/social_science.rs:68:13
[INFO] [stdout]    |
[INFO] [stdout] 68 |         let response_patterns = self.analyze_response_patterns(X)?;
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_response_patterns`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_questions`
[INFO] [stdout]    --> src/domain_specific/social_science.rs:175:29
[INFO] [stdout]     |
[INFO] [stdout] 175 |         let (n_respondents, n_questions) = X.dim();
[INFO] [stdout]     |                             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_questions`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_questions`
[INFO] [stdout]    --> src/domain_specific/social_science.rs:306:29
[INFO] [stdout]     |
[INFO] [stdout] 306 |         let (n_respondents, n_questions) = X.dim();
[INFO] [stdout]     |                             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_questions`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `common_responses` is assigned to, but never used
[INFO] [stdout]    --> src/domain_specific/social_science.rs:334:13
[INFO] [stdout]     |
[INFO] [stdout] 334 |         let mut common_responses = 0;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_common_responses` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `common_responses` is never read
[INFO] [stdout]    --> src/domain_specific/social_science.rs:341:17
[INFO] [stdout]     |
[INFO] [stdout] 341 |                 common_responses += 1;
[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: `stratum_name`
[INFO] [stdout]    --> src/domain_specific/social_science.rs:412:14
[INFO] [stdout]     |
[INFO] [stdout] 412 |         for (stratum_name, stratum_indices) in &self.demographic_strata {
[INFO] [stdout]     |              ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_stratum_name`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/simd_ops.rs:637:14
[INFO] [stdout]     |
[INFO] [stdout] 637 |         let (n_samples, n_features) = data.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `attrition_patterns`
[INFO] [stdout]    --> src/domain_specific/social_science.rs:857:13
[INFO] [stdout]     |
[INFO] [stdout] 857 |         let attrition_patterns = self.identify_attrition_patterns(&X.view(), subject_groups)?;
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_attrition_patterns`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_nodes`
[INFO] [stdout]     --> src/domain_specific/social_science.rs:1290:13
[INFO] [stdout]      |
[INFO] [stdout] 1290 |         let n_nodes = X.nrows();
[INFO] [stdout]      |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_nodes`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `stratum_name`
[INFO] [stdout]     --> src/domain_specific/social_science.rs:1472:14
[INFO] [stdout]      |
[INFO] [stdout] 1472 |         for (stratum_name, individual_indices) in &self.population_strata {
[INFO] [stdout]      |              ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_stratum_name`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `benchmark_name`
[INFO] [stdout]     --> src/domain_specific/social_science.rs:1562:14
[INFO] [stdout]      |
[INFO] [stdout] 1562 |         for (benchmark_name, target_value) in benchmarks {
[INFO] [stdout]      |              ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_benchmark_name`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/ensemble.rs:468:25
[INFO] [stdout]     |
[INFO] [stdout] 468 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `json`
[INFO] [stdout]    --> src/fluent_api.rs:905:22
[INFO] [stdout]     |
[INFO] [stdout] 905 |     pub fn from_json(json: &str) -> SklResult<Self> {
[INFO] [stdout]     |                      ^^^^ help: if this is intentional, prefix it with an underscore: `_json`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]     --> src/fluent_api.rs:1036:35
[INFO] [stdout]      |
[INFO] [stdout] 1036 |         fn partial_fit(&mut self, X: &ArrayView2<Float>) -> SklResult<()> {
[INFO] [stdout]      |                                   ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]     --> src/independence.rs:1081:10
[INFO] [stdout]      |
[INFO] [stdout] 1081 |     let (n_samples, n_features) = X.dim();
[INFO] [stdout]      |          ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]     --> src/independence.rs:1081:21
[INFO] [stdout]      |
[INFO] [stdout] 1081 |     let (n_samples, n_features) = X.dim();
[INFO] [stdout]      |                     ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `global_feat_idx`
[INFO] [stdout]     --> src/information_theoretic.rs:1552:21
[INFO] [stdout]      |
[INFO] [stdout] 1552 |     for (feat_idx, &global_feat_idx) in feature_indices.iter().enumerate() {
[INFO] [stdout]      |                     ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_global_feat_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `imputer`
[INFO] [stdout]    --> src/testing_pipeline.rs:797:9
[INFO] [stdout]     |
[INFO] [stdout] 797 |         imputer: &mut dyn Imputer,
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_imputer`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X_missing`
[INFO] [stdout]    --> src/testing_pipeline.rs:798:9
[INFO] [stdout]     |
[INFO] [stdout] 798 |         X_missing: &Array2<f64>,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_X_missing`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `zero_probability`
[INFO] [stdout]    --> src/mixed_type.rs:379:44
[INFO] [stdout]     |
[INFO] [stdout] 379 |             VariableType::SemiContinuous { zero_probability } => {
[INFO] [stdout]     |                                            ^^^^^^^^^^^^^^^^ help: try ignoring the field: `zero_probability: _`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n`
[INFO] [stdout]    --> src/validation.rs:716:13
[INFO] [stdout]     |
[INFO] [stdout] 716 |         let n = fold_metrics.len() as f64;
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prev_X`
[INFO] [stdout]    --> src/mixed_type.rs:466:17
[INFO] [stdout]     |
[INFO] [stdout] 466 |             let prev_X = X_imputed.clone();
[INFO] [stdout]     |                 ^^^^^^ help: if this is intentional, prefix it with an underscore: `_prev_X`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]    --> src/mixed_type.rs:982:40
[INFO] [stdout]     |
[INFO] [stdout] 982 |         let mut base_rng = if let Some(seed) = self.random_state {
[INFO] [stdout]     |                                        ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `m`
[INFO] [stdout]    --> src/mixed_type.rs:988:13
[INFO] [stdout]     |
[INFO] [stdout] 988 |         for m in 0..self.n_imputations {
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_m`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]     --> src/mixed_type.rs:1008:59
[INFO] [stdout]      |
[INFO] [stdout] 1008 |     fn generate_single_imputation(&self, X: &Array2<f64>, seed: u64) -> SklResult<Array2<f64>> {
[INFO] [stdout]      |                                                           ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/visualization.rs:557:49
[INFO] [stdout]     |
[INFO] [stdout] 557 | fn compute_correlation_p_value(x: &Array1<f64>, y: &Array1<f64>, correlation: f64) -> f64 {
[INFO] [stdout]     |                                                 ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `df`
[INFO] [stdout]    --> src/visualization.rs:574:9
[INFO] [stdout]     |
[INFO] [stdout] 574 |     let df = n - 2.0;
[INFO] [stdout]     |         ^^ help: if this is intentional, prefix it with an underscore: `_df`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `M1`
[INFO] [stdout]    --> src/multivariate.rs:341:13
[INFO] [stdout]     |
[INFO] [stdout] 341 |         let M1 = Cxx_inv.dot(Cxy).dot(&Cyy_inv).dot(&Cxy.t());
[INFO] [stdout]     |             ^^ help: if this is intentional, prefix it with an underscore: `_M1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `M2`
[INFO] [stdout]    --> src/multivariate.rs:342:13
[INFO] [stdout]     |
[INFO] [stdout] 342 |         let M2 = Cyy_inv.dot(&Cxy.t()).dot(&Cxx_inv).dot(Cxy);
[INFO] [stdout]     |             ^^ help: if this is intentional, prefix it with an underscore: `_M2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/out_of_core.rs:505:25
[INFO] [stdout]     |
[INFO] [stdout] 505 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/out_of_core.rs:515:19
[INFO] [stdout]     |
[INFO] [stdout] 515 |             for ((i, j), value) in chunk.indexed_iter_mut() {
[INFO] [stdout]     |                   ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/out_of_core.rs:527:14
[INFO] [stdout]     |
[INFO] [stdout] 527 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/out_of_core.rs:527:25
[INFO] [stdout]     |
[INFO] [stdout] 527 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> src/out_of_core.rs:785:25
[INFO] [stdout]     |
[INFO] [stdout] 785 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |                         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_features`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `row_idx`
[INFO] [stdout]    --> src/out_of_core.rs:795:18
[INFO] [stdout]     |
[INFO] [stdout] 795 |             for (row_idx, mut row) in chunk.rows_mut().into_iter().enumerate() {
[INFO] [stdout]     |                  ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_row_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/out_of_core.rs:822:14
[INFO] [stdout]     |
[INFO] [stdout] 822 |         for (i, mut row) in X_imputed.rows_mut().into_iter().enumerate() {
[INFO] [stdout]     |              ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `chunk_id`
[INFO] [stdout]     --> src/out_of_core.rs:1088:40
[INFO] [stdout]      |
[INFO] [stdout] 1088 |     fn load_chunk_from_disk(&mut self, chunk_id: usize) -> Result<(), ImputationError> {
[INFO] [stdout]      |                                        ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_chunk_id`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `chunk`
[INFO] [stdout]     --> src/out_of_core.rs:1096:35
[INFO] [stdout]      |
[INFO] [stdout] 1096 |     fn write_chunk_to_disk(&self, chunk: &OutOfCoreChunk) -> Result<(), ImputationError> {
[INFO] [stdout]      |                                   ^^^^^ help: if this is intentional, prefix it with an underscore: `_chunk`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/parallel.rs:146:14
[INFO] [stdout]     |
[INFO] [stdout] 146 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/parallel.rs:416:14
[INFO] [stdout]     |
[INFO] [stdout] 416 |         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: `iteration`
[INFO] [stdout]    --> src/parallel.rs:430:13
[INFO] [stdout]     |
[INFO] [stdout] 430 |         for iteration in 0..self.max_iter {
[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/parallel.rs:483:15
[INFO] [stdout]     |
[INFO] [stdout] 483 |         for ((i, j), value) in X_imputed.indexed_iter_mut() {
[INFO] [stdout]     |               ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/sampling.rs:307:14
[INFO] [stdout]     |
[INFO] [stdout] 307 |         let (n_samples, n_features) = X.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_samples`
[INFO] [stdout]    --> src/sampling.rs:763:14
[INFO] [stdout]     |
[INFO] [stdout] 763 |         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: variant `pH` should have an upper camel case name
[INFO] [stdout]    --> examples/sensor_data_imputation.rs:217:5
[INFO] [stdout]     |
[INFO] [stdout] 217 |     pH,
[INFO] [stdout]     |     ^^ help: convert the identifier to upper camel case: `PH`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(non_camel_case_types)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Rng`
[INFO] [stdout]   --> examples/simple_financial_imputation.rs:12:39
[INFO] [stdout]    |
[INFO] [stdout] 12 | use scirs2_core::random::{thread_rng, Rng};
[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 variable: `n_samples`
[INFO] [stdout]    --> src/simd_ops.rs:637:14
[INFO] [stdout]     |
[INFO] [stdout] 637 |         let (n_samples, n_features) = data.dim();
[INFO] [stdout]     |              ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_samples`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Rng`
[INFO] [stdout]   --> examples/simple_sensor_imputation.rs:12:39
[INFO] [stdout]    |
[INFO] [stdout] 12 | use scirs2_core::random::{thread_rng, Rng};
[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 variable: `i`
[INFO] [stdout]    --> examples/simple_sensor_imputation.rs:214:10
[INFO] [stdout]     |
[INFO] [stdout] 214 |     for (i, &(row, col)) in missing_positions.iter().take(5).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 import: `Rng`
[INFO] [stdout]   --> examples/sensor_data_imputation.rs:44:39
[INFO] [stdout]    |
[INFO] [stdout] 44 | use scirs2_core::random::{thread_rng, Rng};
[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: `Rng`
[INFO] [stdout]   --> examples/financial_imputation.rs:38:39
[INFO] [stdout]    |
[INFO] [stdout] 38 | use scirs2_core::random::{thread_rng, Rng};
[INFO] [stdout]    |                                       ^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) 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]     --> examples/healthcare_imputation.rs:1518:31
[INFO] [stdout]      |
[INFO] [stdout] 1518 |         data[[i, 1]] = if rng.gen::<f64>() < 0.5 { 0.0 } else { 1.0 }; // Gender (0=F, 1=M)
[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]     --> examples/healthcare_imputation.rs:1521:16
[INFO] [stdout]      |
[INFO] [stdout] 1521 |         if rng.gen::<f64>() > 0.05 {
[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]     --> examples/healthcare_imputation.rs:1534:16
[INFO] [stdout]      |
[INFO] [stdout] 1534 |         if rng.gen::<f64>() > missing_prob {
[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]     --> examples/healthcare_imputation.rs:1550:16
[INFO] [stdout]      |
[INFO] [stdout] 1550 |         if rng.gen::<f64>() > dropout_prob {
[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]     --> examples/healthcare_imputation.rs:1552:35
[INFO] [stdout]      |
[INFO] [stdout] 1552 |             data[[i, 9]] = if rng.gen::<f64>() < 0.1 { 1.0 } else { 0.0 }; // Adverse event
[INFO] [stdout]      |                                   ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `sensor_type`
[INFO] [stdout]     --> examples/sensor_data_imputation.rs:1139:14
[INFO] [stdout]      |
[INFO] [stdout] 1139 |         for (sensor_type, sensor_indices) in sensor_groups {
[INFO] [stdout]      |              ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_sensor_type`
[INFO] [stdout]      |
[INFO] [stdout]      = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]    --> examples/financial_imputation.rs:709:9
[INFO] [stdout]     |
[INFO] [stdout] 709 |         data: &FinancialDataset,
[INFO] [stdout]     |         ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]     --> examples/sensor_data_imputation.rs:1236:9
[INFO] [stdout]      |
[INFO] [stdout] 1236 |         data: &SensorDataset,
[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]     --> examples/sensor_data_imputation.rs:1244:9
[INFO] [stdout]      |
[INFO] [stdout] 1244 |         data: &SensorDataset,
[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]     --> examples/sensor_data_imputation.rs:1435:9
[INFO] [stdout]      |
[INFO] [stdout] 1435 |         data: &SensorDataset,
[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]    --> examples/healthcare_imputation.rs:501:32
[INFO] [stdout]     |
[INFO] [stdout] 501 |     fn little_mcar_test(&self, data: &ArrayView2<f64>) -> SklResult<f64> {
[INFO] [stdout]     |                                ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]     --> examples/sensor_data_imputation.rs:1472:9
[INFO] [stdout]      |
[INFO] [stdout] 1472 |         data: &SensorDataset,
[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]     --> examples/sensor_data_imputation.rs:1490:9
[INFO] [stdout]      |
[INFO] [stdout] 1490 |         data: &SensorDataset,
[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]    --> examples/healthcare_imputation.rs:510:9
[INFO] [stdout]     |
[INFO] [stdout] 510 |         data: &ArrayView2<f64>,
[INFO] [stdout]     |         ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `variable_names`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:511:9
[INFO] [stdout]     |
[INFO] [stdout] 511 |         variable_names: &[String],
[INFO] [stdout]     |         ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_variable_names`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `clinical_context`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:522:9
[INFO] [stdout]     |
[INFO] [stdout] 522 |         clinical_context: &ClinicalContext,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_clinical_context`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `patterns`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:537:38
[INFO] [stdout]     |
[INFO] [stdout] 537 |     fn check_monotone_pattern(&self, patterns: &[Vec<bool>]) -> bool {
[INFO] [stdout]     |                                      ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_patterns`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:546:9
[INFO] [stdout]     |
[INFO] [stdout] 546 |         data: &ArrayView2<f64>,
[INFO] [stdout]     |         ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:553:14
[INFO] [stdout]     |
[INFO] [stdout] 553 |         for (i, var_name) in variable_names.iter().enumerate() {
[INFO] [stdout]     |              ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `clinical_context`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:563:54
[INFO] [stdout]     |
[INFO] [stdout] 563 |     fn is_informative_missing(&self, var_name: &str, clinical_context: &ClinicalContext) -> bool {
[INFO] [stdout]     |                                                      ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_clinical_context`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]     --> examples/financial_imputation.rs:1048:9
[INFO] [stdout]      |
[INFO] [stdout] 1048 |         data: &FinancialDataset,
[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]     --> examples/financial_imputation.rs:1056:9
[INFO] [stdout]      |
[INFO] [stdout] 1056 |         data: &FinancialDataset,
[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]     --> examples/financial_imputation.rs:1190:9
[INFO] [stdout]      |
[INFO] [stdout] 1190 |         data: &FinancialDataset,
[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]     --> examples/financial_imputation.rs:1203:9
[INFO] [stdout]      |
[INFO] [stdout] 1203 |         data: &FinancialDataset,
[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]     --> examples/financial_imputation.rs:1216:9
[INFO] [stdout]      |
[INFO] [stdout] 1216 |         data: &FinancialDataset,
[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]     --> examples/financial_imputation.rs:1229:9
[INFO] [stdout]      |
[INFO] [stdout] 1229 |         data: &FinancialDataset,
[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]     --> examples/financial_imputation.rs:1247:42
[INFO] [stdout]      |
[INFO] [stdout] 1247 |     fn check_basel_iii_compliance(&self, data: &FinancialDataset) -> Result<bool, ImputationError> {
[INFO] [stdout]      |                                          ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `autonomous_framework`
[INFO] [stdout]     --> examples/sensor_data_imputation.rs:1788:9
[INFO] [stdout]      |
[INFO] [stdout] 1788 |     let autonomous_framework = SensorImputationFramework::new().for_autonomous_vehicles();
[INFO] [stdout]      |         ^^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_autonomous_framework`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `data`
[INFO] [stdout]     --> examples/financial_imputation.rs:1251:41
[INFO] [stdout]      |
[INFO] [stdout] 1251 |     fn check_mifid_ii_compliance(&self, data: &FinancialDataset) -> Result<bool, ImputationError> {
[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]     --> examples/financial_imputation.rs:1257:9
[INFO] [stdout]      |
[INFO] [stdout] 1257 |         data: &FinancialDataset,
[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]     --> examples/financial_imputation.rs:1262:37
[INFO] [stdout]      |
[INFO] [stdout] 1262 |     fn check_ccar_compliance(&self, data: &FinancialDataset) -> Result<bool, ImputationError> {
[INFO] [stdout]      |                                     ^^^^ help: if this is intentional, prefix it with an underscore: `_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `original`
[INFO] [stdout]     --> examples/financial_imputation.rs:1268:9
[INFO] [stdout]      |
[INFO] [stdout] 1268 |         original: &FinancialDataset,
[INFO] [stdout]      |         ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_original`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `imputed`
[INFO] [stdout]     --> examples/financial_imputation.rs:1269:9
[INFO] [stdout]      |
[INFO] [stdout] 1269 |         imputed: &FinancialDataset,
[INFO] [stdout]      |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_imputed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `original`
[INFO] [stdout]     --> examples/financial_imputation.rs:1277:9
[INFO] [stdout]      |
[INFO] [stdout] 1277 |         original: &FinancialDataset,
[INFO] [stdout]      |         ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_original`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `imputed`
[INFO] [stdout]     --> examples/financial_imputation.rs:1278:9
[INFO] [stdout]      |
[INFO] [stdout] 1278 |         imputed: &FinancialDataset,
[INFO] [stdout]      |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_imputed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `variable_names`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:650:9
[INFO] [stdout]     |
[INFO] [stdout] 650 |         variable_names: &[String],
[INFO] [stdout]     |         ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_variable_names`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `original`
[INFO] [stdout]     --> examples/financial_imputation.rs:1286:9
[INFO] [stdout]      |
[INFO] [stdout] 1286 |         original: &FinancialDataset,
[INFO] [stdout]      |         ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_original`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `imputed`
[INFO] [stdout]     --> examples/financial_imputation.rs:1287:9
[INFO] [stdout]      |
[INFO] [stdout] 1287 |         imputed: &FinancialDataset,
[INFO] [stdout]      |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_imputed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `clinical_context`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:651:9
[INFO] [stdout]     |
[INFO] [stdout] 651 |         clinical_context: &ClinicalContext,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_clinical_context`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `use_expert_rules`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:714:9
[INFO] [stdout]     |
[INFO] [stdout] 714 |         use_expert_rules: bool,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_use_expert_rules`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]     --> examples/sensor_data_imputation.rs:1871:61
[INFO] [stdout]      |
[INFO] [stdout] 1871 |     let locations = Array2::from_shape_fn((n_sensors, 3), |(i, j)| {
[INFO] [stdout]      |                                                             ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `sensor_type`
[INFO] [stdout]     --> examples/sensor_data_imputation.rs:1890:13
[INFO] [stdout]      |
[INFO] [stdout] 1890 |         let sensor_type = &sensor_specs[s].sensor_type;
[INFO] [stdout]      |             ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_sensor_type`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `similarity_metric`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:759:9
[INFO] [stdout]     |
[INFO] [stdout] 759 |         similarity_metric: &SimilarityMetric,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_similarity_metric`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:805:25
[INFO] [stdout]     |
[INFO] [stdout] 805 |         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: `time_windows`
[INFO] [stdout]    --> examples/healthcare_imputation.rs:849:9
[INFO] [stdout]     |
[INFO] [stdout] 849 |         time_windows: &[f64],
[INFO] [stdout]     |         ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_time_windows`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_imputations`
[INFO] [stdout]     --> examples/healthcare_imputation.rs:1022:13
[INFO] [stdout]      |
[INFO] [stdout] 1022 |         let n_imputations = all_imputations.len();
[INFO] [stdout]      |             ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_imputations`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]     --> examples/financial_imputation.rs:1605:13
[INFO] [stdout]      |
[INFO] [stdout] 1605 |         for i in 0..affected_assets {
[INFO] [stdout]      |             ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `environmental_config` is never read
[INFO] [stdout]   --> examples/sensor_data_imputation.rs:60:5
[INFO] [stdout]    |
[INFO] [stdout] 54 | pub struct SensorImputationFramework {
[INFO] [stdout]    |            ------------------------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 60 |     environmental_config: EnvironmentalConfig,
[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: `clinical_context`
[INFO] [stdout]     --> examples/healthcare_imputation.rs:1080:9
[INFO] [stdout]      |
[INFO] [stdout] 1080 |         clinical_context: &ClinicalContext,
[INFO] [stdout]      |         ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_clinical_context`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n_features`
[INFO] [stdout]     --> examples/healthcare_imputation.rs:1082:25
[INFO] [stdout]      |
[INFO] [stdout] 1082 |         let (n_samples, n_features) = imputed_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: `imputed_data`
[INFO] [stdout]     --> examples/healthcare_imputation.rs:1141:9
[INFO] [stdout]      |
[INFO] [stdout] 1141 |         imputed_data: &Array2<f64>,
[INFO] [stdout]      |         ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_imputed_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `variable_names`
[INFO] [stdout]     --> examples/healthcare_imputation.rs:1142:9
[INFO] [stdout]      |
[INFO] [stdout] 1142 |         variable_names: &[String],
[INFO] [stdout]      |         ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_variable_names`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `original_data`
[INFO] [stdout]     --> examples/healthcare_imputation.rs:1242:9
[INFO] [stdout]      |
[INFO] [stdout] 1242 |         original_data: &ArrayView2<f64>,
[INFO] [stdout]      |         ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_original_data`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `variable_names`
[INFO] [stdout]     --> examples/healthcare_imputation.rs:1244:9
[INFO] [stdout]      |
[INFO] [stdout] 1244 |         variable_names: &[String],
[INFO] [stdout]      |         ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_variable_names`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `clinical_context`
[INFO] [stdout]     --> examples/healthcare_imputation.rs:1245:9
[INFO] [stdout]      |
[INFO] [stdout] 1245 |         clinical_context: &ClinicalContext,
[INFO] [stdout]      |         ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_clinical_context`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `framework`
[INFO] [stdout]     --> examples/financial_imputation.rs:1794:5
[INFO] [stdout]      |
[INFO] [stdout] 1794 |     framework: &FinancialImputationFramework,
[INFO] [stdout]      |     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_framework`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `framework`
[INFO] [stdout]     --> examples/financial_imputation.rs:1807:5
[INFO] [stdout]      |
[INFO] [stdout] 1807 |     framework: &FinancialImputationFramework,
[INFO] [stdout]      |     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_framework`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `framework`
[INFO] [stdout]     --> examples/financial_imputation.rs:1820:5
[INFO] [stdout]      |
[INFO] [stdout] 1820 |     framework: &FinancialImputationFramework,
[INFO] [stdout]      |     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_framework`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `economic_config` and `credit_config` are never read
[INFO] [stdout]   --> examples/financial_imputation.rs:56:5
[INFO] [stdout]    |
[INFO] [stdout] 50 | pub struct FinancialImputationFramework {
[INFO] [stdout]    |            ---------------------------- fields in this struct
[INFO] [stdout] ...
[INFO] [stdout] 56 |     economic_config: EconomicConfig,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 57 |     /// Credit risk imputation parameters
[INFO] [stdout] 58 |     credit_config: CreditConfig,
[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: `variable_names`
[INFO] [stdout]     --> examples/healthcare_imputation.rs:1626:16
[INFO] [stdout]      |
[INFO] [stdout] 1626 |     let (data, variable_names, clinical_context) = create_synthetic_healthcare_data()?;
[INFO] [stdout]      |                ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_variable_names`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `demographic_strata` is never read
[INFO] [stdout]   --> examples/healthcare_imputation.rs:32:5
[INFO] [stdout]    |
[INFO] [stdout] 30 | pub struct HealthcareImputationFramework {
[INFO] [stdout]    |            ----------------------------- field in this struct
[INFO] [stdout] 31 |     /// Patient demographic stratification for targeted imputation
[INFO] [stdout] 32 |     demographic_strata: HashMap<String, Vec<usize>>,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `HealthcareImputationFramework` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `lab_reference_ranges`, `drug_interactions`, and `temporal_constraints` are never read
[INFO] [stdout]   --> examples/healthcare_imputation.rs:47:5
[INFO] [stdout]    |
[INFO] [stdout] 43 | pub struct ClinicalConstraints {
[INFO] [stdout]    |            ------------------- fields in this struct
[INFO] [stdout] ...
[INFO] [stdout] 47 |     lab_reference_ranges: HashMap<String, HashMap<String, (f64, f64)>>,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 48 |     /// Medication interaction constraints
[INFO] [stdout] 49 |     drug_interactions: Vec<DrugInteraction>,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 50 |     /// Temporal constraints (e.g., before/after treatment)
[INFO] [stdout] 51 |     temporal_constraints: Vec<TemporalConstraint>,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `ClinicalConstraints` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `imputer`
[INFO] [stdout]    --> src/testing_pipeline.rs:797:9
[INFO] [stdout]     |
[INFO] [stdout] 797 |         imputer: &mut dyn Imputer,
[INFO] [stdout]     |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_imputer`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X_missing`
[INFO] [stdout]    --> src/testing_pipeline.rs:798:9
[INFO] [stdout]     |
[INFO] [stdout] 798 |         X_missing: &Array2<f64>,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_X_missing`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `n`
[INFO] [stdout]    --> src/validation.rs:716:13
[INFO] [stdout]     |
[INFO] [stdout] 716 |         let n = fold_metrics.len() as f64;
[INFO] [stdout]     |             ^ help: if this is intentional, prefix it with an underscore: `_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> src/visualization.rs:557:49
[INFO] [stdout]     |
[INFO] [stdout] 557 | fn compute_correlation_p_value(x: &Array1<f64>, y: &Array1<f64>, correlation: f64) -> f64 {
[INFO] [stdout]     |                                                 ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `df`
[INFO] [stdout]    --> src/visualization.rs:574:9
[INFO] [stdout]     |
[INFO] [stdout] 574 |     let df = n - 2.0;
[INFO] [stdout]     |         ^^ help: if this is intentional, prefix it with an underscore: `_df`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `max_iterations`
[INFO] [stdout]    --> src/tests.rs:563:17
[INFO] [stdout]     |
[INFO] [stdout] 563 |             let max_iterations = [10, 25, 50, 100];
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_max_iterations`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `max_iter`
[INFO] [stdout]    --> src/tests.rs:635:18
[INFO] [stdout]     |
[INFO] [stdout] 635 |             for &max_iter in &iteration_counts {
[INFO] [stdout]     |                  ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_max_iter`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seed`
[INFO] [stdout]     --> src/tests.rs:1041:73
[INFO] [stdout]      |
[INFO] [stdout] 1041 |         fn generate_synthetic_data(n_samples: usize, n_features: usize, seed: u64) -> Array2<f64> {
[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/tests.rs:1068:13
[INFO] [stdout]      |
[INFO] [stdout] 1068 |             seed: u64,
[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/tests.rs:1103:13
[INFO] [stdout]      |
[INFO] [stdout] 1103 |             seed: u64,
[INFO] [stdout]      |             ^^^^ help: if this is intentional, prefix it with an underscore: `_seed`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 2m 25s
[INFO] running `Command { std: "docker" "inspect" "862b920c569314b206367412084a04fde09ef0bf28e875f331ff8367053e885d", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "862b920c569314b206367412084a04fde09ef0bf28e875f331ff8367053e885d", kill_on_drop: false }`
[INFO] [stdout] 862b920c569314b206367412084a04fde09ef0bf28e875f331ff8367053e885d
