[INFO] fetching crate sklears 0.1.0-alpha.1...
[INFO] checking sklears-0.1.0-alpha.1 against master#bad50269f8eb0fda214f0478c3afb2c6fbb427fd for pr-149195-1
[INFO] extracting crate sklears 0.1.0-alpha.1 into /workspace/builds/worker-5-tc1/source
[INFO] started tweaking crates.io crate sklears 0.1.0-alpha.1
[INFO] removed 0 missing examples
[INFO] removed 0 missing tests
[INFO] finished tweaking crates.io crate sklears 0.1.0-alpha.1
[INFO] tweaked toml for crates.io crate sklears 0.1.0-alpha.1 written to /workspace/builds/worker-5-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate sklears 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 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
[INFO] [stderr]  Downloading crates ...
[INFO] [stderr]   Downloaded rustc_version_runtime v0.3.0
[INFO] [stderr]   Downloaded bytemuck_derive v1.10.1
[INFO] [stderr]   Downloaded num v0.4.3
[INFO] [stderr]   Downloaded cached_proc_macro v0.25.0
[INFO] [stderr]   Downloaded recursive-proc-macro-impl v0.1.1
[INFO] [stderr]   Downloaded recursive v0.1.1
[INFO] [stderr]   Downloaded xxhash-rust v0.8.15
[INFO] [stderr]   Downloaded dirs-sys v0.5.0
[INFO] [stderr]   Downloaded streaming-iterator v0.1.9
[INFO] [stderr]   Downloaded cached v0.56.0
[INFO] [stderr]   Downloaded psm v0.1.26
[INFO] [stderr]   Downloaded dirs v6.0.0
[INFO] [stderr]   Downloaded boxcar v0.2.14
[INFO] [stderr]   Downloaded polars-row v0.49.1
[INFO] [stderr]   Downloaded polars-mem-engine v0.49.1
[INFO] [stderr]   Downloaded polars-lazy v0.49.1
[INFO] [stderr]   Downloaded phf v0.12.1
[INFO] [stderr]   Downloaded argminmax v0.6.3
[INFO] [stderr]   Downloaded polars-expr v0.49.1
[INFO] [stderr]   Downloaded compact_str v0.8.1
[INFO] [stderr]   Downloaded polars-arrow-format v0.2.1
[INFO] [stderr]   Downloaded sklears-neighbors v0.1.0-alpha.1
[INFO] [stderr]   Downloaded polars-io v0.49.1
[INFO] [stderr]   Downloaded ureq v3.1.2
[INFO] [stderr]   Downloaded sklears-datasets v0.1.0-alpha.1
[INFO] [stderr]   Downloaded polars-plan v0.49.1
[INFO] [stderr]   Downloaded qhull-sys v0.4.0
[INFO] [stderr]   Downloaded polars-core v0.49.1
[INFO] [stderr]   Downloaded sklears-neural v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-clustering v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-decomposition v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-calibration v0.1.0-alpha.1
[INFO] [stderr]   Downloaded polars-arrow v0.49.1
[INFO] [stderr]   Downloaded sklears-feature-selection v0.1.0-alpha.1
[INFO] [stderr]   Downloaded nalgebra v0.29.0
[INFO] [stderr]   Downloaded sklears-manifold v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-naive-bayes v0.1.0-alpha.1
[INFO] [stderr]   Downloaded scirs2-special v0.1.0-rc.1
[INFO] [stderr]   Downloaded sklears-impute v0.1.0-alpha.1
[INFO] [stderr]   Downloaded scirs2-autograd v0.1.0-rc.1
[INFO] [stderr]   Downloaded scirs2-cluster v0.1.0-rc.1
[INFO] [stderr]   Downloaded rustfft v6.4.1
[INFO] [stderr]   Downloaded sklears-kernel-approximation v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-linear v0.1.0-alpha.1
[INFO] [stderr]   Downloaded scirs2-spatial v0.1.0-rc.1
[INFO] [stderr]   Downloaded sklears-multioutput v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-ensemble v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-feature-extraction v0.1.0-alpha.1
[INFO] [stderr]   Downloaded webpki-roots v1.0.2
[INFO] [stderr]   Downloaded scirs2-datasets v0.1.0-rc.1
[INFO] [stderr]   Downloaded sklears-discriminant-analysis v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-model-selection v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-metrics v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-dummy v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-inspection v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-preprocessing v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-gaussian-process v0.1.0-alpha.1
[INFO] [stderr]   Downloaded chrono-tz v0.10.4
[INFO] [stderr]   Downloaded sklears-isotonic v0.1.0-alpha.1
[INFO] [stderr]   Downloaded polars-ops v0.49.1
[INFO] [stderr]   Downloaded polars v0.49.1
[INFO] [stderr]   Downloaded rustls-webpki v0.103.6
[INFO] [stderr]   Downloaded polars-utils v0.49.1
[INFO] [stderr]   Downloaded prettyplease v0.2.37
[INFO] [stderr]   Downloaded polars-parquet v0.49.1
[INFO] [stderr]   Downloaded sklears-covariance v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-cross-decomposition v0.1.0-alpha.1
[INFO] [stderr]   Downloaded ureq-proto v0.5.2
[INFO] [stderr]   Downloaded toml v0.9.7
[INFO] [stderr]   Downloaded fast-float2 v0.2.3
[INFO] [stderr]   Downloaded ethnum v1.5.2
[INFO] [stderr]   Downloaded polars-parquet-format v0.1.0
[INFO] [stderr]   Downloaded simba v0.6.0
[INFO] [stderr]   Downloaded smartcore v0.3.2
[INFO] [stderr]   Downloaded planus v1.1.1
[INFO] [stderr]   Downloaded primal-check v0.3.4
[INFO] [stderr]   Downloaded qhull v0.4.0
[INFO] [stderr]   Downloaded array-init v2.1.0
[INFO] [stderr]   Downloaded serde_spanned v1.0.2
[INFO] [stderr]   Downloaded toml_parser v1.0.3
[INFO] [stderr]   Downloaded atoi_simd v0.16.1
[INFO] [stderr]   Downloaded phf_shared v0.12.1
[INFO] [stderr]   Downloaded skiplist v0.5.1
[INFO] [stderr]   Downloaded lru v0.12.5
[INFO] [stderr]   Downloaded strength_reduce v0.2.4
[INFO] [stderr]   Downloaded transpose v0.2.3
[INFO] [stderr]   Downloaded glob v0.3.3
[INFO] [stderr]   Downloaded which v4.4.2
[INFO] [stderr]   Downloaded bindgen v0.69.5
[INFO] [stderr]   Downloaded windows-targets v0.53.4
[INFO] [stderr]   Downloaded toml_datetime v0.7.2
[INFO] [stderr]   Downloaded toml_writer v1.0.3
[INFO] [stderr]   Downloaded sklears-semi-supervised v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-svm v0.1.0-alpha.1
[INFO] [stderr]   Downloaded debug_unsafe v0.1.3
[INFO] [stderr]   Downloaded fallible-streaming-iterator v0.1.9
[INFO] [stderr]   Downloaded streaming-decompression v0.1.2
[INFO] [stderr]   Downloaded castaway v0.2.4
[INFO] [stderr]   Downloaded array-init-cursor v0.2.1
[INFO] [stderr]   Downloaded stacker v0.1.21
[INFO] [stderr]   Downloaded option-ext v0.2.0
[INFO] [stderr]   Downloaded redox_users v0.5.2
[INFO] [stderr]   Downloaded statrs v0.16.1
[INFO] [stderr]   Downloaded sklears-mixture v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-multiclass v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-tree v0.1.0-alpha.1
[INFO] [stderr]   Downloaded sklears-utils v0.1.0-alpha.1
[INFO] [stderr]   Downloaded polars-schema v0.49.1
[INFO] [stderr]   Downloaded polars-compute v0.49.1
[INFO] [stderr]   Downloaded polars-error v0.49.1
[INFO] [stderr]   Downloaded sklears-compose v0.1.0-alpha.1
[INFO] [stderr]   Downloaded scirs2-neural v0.1.0-rc.1
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-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] 381296e1af1a67aa20966b183a61b0d52e421d5740ad24fcd67ba15ab16c06fb
[INFO] running `Command { std: "docker" "start" "-a" "381296e1af1a67aa20966b183a61b0d52e421d5740ad24fcd67ba15ab16c06fb", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "381296e1af1a67aa20966b183a61b0d52e421d5740ad24fcd67ba15ab16c06fb", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "381296e1af1a67aa20966b183a61b0d52e421d5740ad24fcd67ba15ab16c06fb", kill_on_drop: false }`
[INFO] [stdout] 381296e1af1a67aa20966b183a61b0d52e421d5740ad24fcd67ba15ab16c06fb
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:94a0c148923f5b2b52a63ef0eeb1882ad339ab61bce784c8077cbe41c61feb6c" "/opt/rustwide/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 1f2272f16feb77b140ac5dabef2bb915dc2d2bc65ce9a3cdecf54daea1721fd7
[INFO] running `Command { std: "docker" "start" "-a" "1f2272f16feb77b140ac5dabef2bb915dc2d2bc65ce9a3cdecf54daea1721fd7", kill_on_drop: false }`
[INFO] [stderr]    Compiling libc v0.2.176
[INFO] [stderr]    Compiling serde_core v1.0.228
[INFO] [stderr]    Compiling serde v1.0.228
[INFO] [stderr]    Compiling libm v0.2.15
[INFO] [stderr]    Compiling find-msvc-tools v0.1.2
[INFO] [stderr]     Checking either v1.15.0
[INFO] [stderr]    Compiling proc-macro2 v1.0.101
[INFO] [stderr]    Compiling quote v1.0.41
[INFO] [stderr]    Compiling num-traits v0.2.19
[INFO] [stderr]    Compiling typenum v1.18.0
[INFO] [stderr]    Compiling matrixmultiply v0.3.10
[INFO] [stderr]     Checking rawpointer v0.2.1
[INFO] [stderr]     Checking regex v1.11.3
[INFO] [stderr]    Compiling paste v1.0.15
[INFO] [stderr]     Checking bitflags v2.9.4
[INFO] [stderr]    Compiling lock_api v0.4.13
[INFO] [stderr]    Compiling parking_lot_core v0.9.11
[INFO] [stderr]     Checking crossbeam-queue v0.3.12
[INFO] [stderr]    Compiling scirs2-core v0.1.0-rc.1
[INFO] [stderr]    Compiling rustversion v1.0.22
[INFO] [stderr]    Compiling virtue v0.0.18
[INFO] [stderr]     Checking array-init-cursor v0.2.1
[INFO] [stderr]    Compiling signal-hook v0.3.18
[INFO] [stderr]    Compiling slotmap v1.0.7
[INFO] [stderr]    Compiling lambert_w v1.2.28
[INFO] [stderr]     Checking crossbeam v0.8.4
[INFO] [stderr]     Checking unty v0.0.4
[INFO] [stderr]     Checking rayon v1.11.0
[INFO] [stderr]    Compiling polars-utils v0.49.1
[INFO] [stderr]     Checking static_assertions v1.1.0
[INFO] [stderr]     Checking simdutf8 v0.1.5
[INFO] [stderr]     Checking siphasher v1.0.1
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[INFO] [stderr]     Checking phf_shared v0.12.1
[INFO] [stderr]     Checking raw-cpuid v11.6.0
[INFO] [stderr]    Compiling polars-schema v0.49.1
[INFO] [stderr]    Compiling chrono-tz v0.10.4
[INFO] [stderr]     Checking phf v0.12.1
[INFO] [stderr]     Checking env_logger v0.8.4
[INFO] [stderr]    Compiling polars-arrow v0.49.1
[INFO] [stderr]    Compiling bincode_derive v2.0.1
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[INFO] [stderr]    Compiling polars-compute v0.49.1
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[INFO] [stderr]    Compiling minimal-lexical v0.2.1
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[INFO] [stdout] warning: ambiguous glob re-exports
[INFO] [stdout]   --> src/lib.rs:20:9
[INFO] [stdout]    |
[INFO] [stdout] 20 | pub use sklears_core::*;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^ the name `parallel` in the type namespace is first re-exported here
[INFO] [stdout] 21 | pub use sklears_utils::*;
[INFO] [stdout]    |         ---------------- but the name `parallel` 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:20:9
[INFO] [stdout]    |
[INFO] [stdout] 20 | pub use sklears_core::*;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^ the name `validation` in the type namespace is first re-exported here
[INFO] [stdout] 21 | pub use sklears_utils::*;
[INFO] [stdout]    |         ---------------- but the name `validation` 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:20:9
[INFO] [stdout]    |
[INFO] [stdout] 20 | pub use sklears_core::*;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^ the name `parallel` in the type namespace is first re-exported here
[INFO] [stdout] 21 | pub use sklears_utils::*;
[INFO] [stdout]    |         ---------------- but the name `parallel` 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:20:9
[INFO] [stdout]    |
[INFO] [stdout] 20 | pub use sklears_core::*;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^ the name `validation` in the type namespace is first re-exported here
[INFO] [stdout] 21 | pub use sklears_utils::*;
[INFO] [stdout]    |         ---------------- but the name `validation` in the type namespace is also re-exported here
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `logistic-regression`
[INFO] [stdout]   --> examples/performance_comparison_comprehensive.rs:12:7
[INFO] [stdout]    |
[INFO] [stdout] 12 | #[cfg(feature = "logistic-regression")]
[INFO] [stdout]    |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `all-algorithms`, `backend-blas`, `backend-cpu`, `backend-cuda`, `backend-wgpu`, `bench`, `calibration`, `clustering`, `compose`, `covariance`, `criterion`, `cross-decomposition`, `datasets`, `decomposition`, `default`, `dev`, `discriminant-analysis`, `dummy`, `ensemble`, `feature-extraction`, `feature-selection`, `gaussian-process`, `impute`, `inspection`, `isotonic`, `kernel-approximation`, `linear`, `manifold`, `metrics`, `mixture`, `model-selection`, `multiclass`, `multioutput`, `naive-bayes`, and `neighbors` and 38 more
[INFO] [stdout]    = help: consider adding `logistic-regression` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]    = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `logistic-regression`
[INFO] [stdout]    --> examples/performance_comparison_comprehensive.rs:163:11
[INFO] [stdout]     |
[INFO] [stdout] 163 |     #[cfg(feature = "logistic-regression")]
[INFO] [stdout]     |           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected values for `feature` are: `all-algorithms`, `backend-blas`, `backend-cpu`, `backend-cuda`, `backend-wgpu`, `bench`, `calibration`, `clustering`, `compose`, `covariance`, `criterion`, `cross-decomposition`, `datasets`, `decomposition`, `default`, `dev`, `discriminant-analysis`, `dummy`, `ensemble`, `feature-extraction`, `feature-selection`, `gaussian-process`, `impute`, `inspection`, `isotonic`, `kernel-approximation`, `linear`, `manifold`, `metrics`, `mixture`, `model-selection`, `multiclass`, `multioutput`, `naive-bayes`, and `neighbors` and 38 more
[INFO] [stdout]     = help: consider adding `logistic-regression` as a feature in `Cargo.toml`
[INFO] [stdout]     = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated method `scirs2_core::Rng::gen`: Renamed to `random` to avoid conflict with the new `gen` keyword in Rust 2024.
[INFO] [stdout]   --> benches/benchmark_config.rs:15:68
[INFO] [stdout]    |
[INFO] [stdout] 15 |     let x = Array2::from_shape_fn((n_samples, n_features), |_| rng.gen::<Float>() * 10.0);
[INFO] [stdout]    |                                                                    ^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(deprecated)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated method `scirs2_core::Rng::gen`: Renamed to `random` to avoid conflict with the new `gen` keyword in Rust 2024.
[INFO] [stdout]   --> benches/benchmark_config.rs:30:68
[INFO] [stdout]    |
[INFO] [stdout] 30 |     let x = Array2::from_shape_fn((n_samples, n_features), |_| rng.gen::<Float>() * 10.0);
[INFO] [stdout]    |                                                                    ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> examples/pairwise_metrics_demo.rs:13:9
[INFO] [stdout]    |
[INFO] [stdout] 13 |     let X = array![[0., 0.], [1., 1.], [2., 2.], [3., 3.],];
[INFO] [stdout]    |         ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `Y` should have a snake case name
[INFO] [stdout]   --> examples/pairwise_metrics_demo.rs:15:9
[INFO] [stdout]    |
[INFO] [stdout] 15 |     let Y = array![[0.5, 0.5], [2.5, 2.5],];
[INFO] [stdout]    |         ^ help: convert the identifier to snake case (notice the capitalization): `y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_with_nan` should have a snake case name
[INFO] [stdout]   --> examples/pairwise_metrics_demo.rs:31:9
[INFO] [stdout]    |
[INFO] [stdout] 31 |     let X_with_nan = array![[1., 2., f64::NAN], [4., f64::NAN, 6.], [7., 8., 9.],];
[INFO] [stdout]    |         ^^^^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_with_nan`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `Y_ref` should have a snake case name
[INFO] [stdout]   --> examples/pairwise_metrics_demo.rs:32:9
[INFO] [stdout]    |
[INFO] [stdout] 32 |     let Y_ref = array![[1., 2., 3.]];
[INFO] [stdout]    |         ^^^^^ help: convert the identifier to snake case (notice the capitalization): `y_ref`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_kernel` should have a snake case name
[INFO] [stdout]   --> examples/pairwise_metrics_demo.rs:67:9
[INFO] [stdout]    |
[INFO] [stdout] 67 |     let X_kernel = array![[1., 0.], [0., 1.], [1., 1.], [-1., -1.],];
[INFO] [stdout]    |         ^^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_kernel`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kmeans_model`
[INFO] [stdout]    --> examples/dbscan_clustering.rs:159:9
[INFO] [stdout]     |
[INFO] [stdout] 159 |     let kmeans_model = kmeans.fit(&comparison_data, &y_dummy)?;
[INFO] [stdout]     |         ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kmeans_model`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `train`
[INFO] [stdout]   --> examples/cross_validators_demo.rs:80:14
[INFO] [stdout]    |
[INFO] [stdout] 80 |     for (i, (train, test)) in splits.iter().take(3).enumerate() {
[INFO] [stdout]    |              ^^^^^ help: if this is intentional, prefix it with an underscore: `_train`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]    --> examples/performance_comparison_comprehensive.rs:159:46
[INFO] [stdout]     |
[INFO] [stdout] 159 | fn benchmark_classification(X: &Array2<f64>, y: &Array1<usize>) -> Vec<PerformanceResult> {
[INFO] [stdout]     |                                              ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated method `scirs2_core::Rng::gen_range`: Renamed to `random_range`
[INFO] [stdout]    --> examples/performance_comparison_text.rs:127:58
[INFO] [stdout]     |
[INFO] [stdout] 127 |         let doc_length = (avg_words_per_doc as i32 + rng.gen_range(-variance..variance)) as usize;
[INFO] [stdout]     |                                                          ^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(deprecated)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `dataset_info`
[INFO] [stdout]    --> examples/performance_comparison_comprehensive.rs:161:9
[INFO] [stdout]     |
[INFO] [stdout] 161 |     let dataset_info = format!("{}×{}", X.nrows(), X.ncols());
[INFO] [stdout]     |         ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_dataset_info`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> examples/performance_comparison_comprehensive.rs:47:13
[INFO] [stdout]    |
[INFO] [stdout] 47 |     let mut X = Array2::zeros((n_samples, n_features));
[INFO] [stdout]    |             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> examples/performance_comparison_comprehensive.rs:80:13
[INFO] [stdout]    |
[INFO] [stdout] 80 |     let mut X = Array2::zeros((n_samples, n_features));
[INFO] [stdout]    |             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> examples/performance_comparison_comprehensive.rs:101:32
[INFO] [stdout]     |
[INFO] [stdout] 101 | fn benchmark_linear_regression(X: &Array2<f64>, y: &Array1<f64>) -> Vec<PerformanceResult> {
[INFO] [stdout]     |                                ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> examples/performance_comparison_comprehensive.rs:159:29
[INFO] [stdout]     |
[INFO] [stdout] 159 | fn benchmark_classification(X: &Array2<f64>, y: &Array1<usize>) -> Vec<PerformanceResult> {
[INFO] [stdout]     |                             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> examples/performance_comparison_comprehensive.rs:198:25
[INFO] [stdout]     |
[INFO] [stdout] 198 | fn benchmark_clustering(X: &Array2<f64>) -> Vec<PerformanceResult> {
[INFO] [stdout]     |                         ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `_X` should have a snake case name
[INFO] [stdout]    --> examples/performance_comparison_comprehensive.rs:253:28
[INFO] [stdout]     |
[INFO] [stdout] 253 | fn benchmark_preprocessing(_X: &Array2<f64>) -> Vec<PerformanceResult> {
[INFO] [stdout]     |                            ^^ help: convert the identifier to snake case (notice the capitalization): `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_reg` should have a snake case name
[INFO] [stdout]    --> examples/performance_comparison_comprehensive.rs:403:14
[INFO] [stdout]     |
[INFO] [stdout] 403 |         let (X_reg, y_reg) = generate_regression_data(n_samples, n_features);
[INFO] [stdout]     |              ^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_reg`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_clf` should have a snake case name
[INFO] [stdout]    --> examples/performance_comparison_comprehensive.rs:404:14
[INFO] [stdout]     |
[INFO] [stdout] 404 |         let (X_clf, y_clf) = generate_classification_data(n_samples, n_features, 3);
[INFO] [stdout]     |              ^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_clf`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/simple_integration_test.rs:17:10
[INFO] [stdout]    |
[INFO] [stdout] 17 |     let (X, y) = make_classification(50, 4, 3, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/integration_test.rs:16:10
[INFO] [stdout]    |
[INFO] [stdout] 16 |     let (X, y) = make_classification(100, 4, 3, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `X`
[INFO] [stdout]   --> tests/comprehensive_integration_test.rs:45:10
[INFO] [stdout]    |
[INFO] [stdout] 45 |     let (X, y) = make_classification(100, 5, 3, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: if this is intentional, prefix it with an underscore: `_X`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]   --> tests/comprehensive_integration_test.rs:45:13
[INFO] [stdout]    |
[INFO] [stdout] 45 |     let (X, y) = make_classification(100, 5, 3, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |             ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kfold`
[INFO] [stdout]   --> tests/comprehensive_integration_test.rs:48:9
[INFO] [stdout]    |
[INFO] [stdout] 48 |     let kfold = KFold::new(5);
[INFO] [stdout]    |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_kfold`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `knn_regressor`
[INFO] [stdout]   --> tests/comprehensive_integration_test.rs:51:9
[INFO] [stdout]    |
[INFO] [stdout] 51 |     let knn_regressor = KNeighborsRegressor::new(3);
[INFO] [stdout]    |         ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_knn_regressor`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/comprehensive_integration_test.rs:45:10
[INFO] [stdout]    |
[INFO] [stdout] 45 |     let (X, y) = make_classification(100, 5, 3, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/comprehensive_integration_test.rs:96:10
[INFO] [stdout]    |
[INFO] [stdout] 96 |     let (X, y) = make_classification(120, 4, 4, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_train` should have a snake case name
[INFO] [stdout]   --> tests/comprehensive_integration_test.rs:99:10
[INFO] [stdout]    |
[INFO] [stdout] 99 |     let (X_train, X_test, y_train, y_test) = train_test_split(&X, &y, 0.3, Some(42)).unwrap();
[INFO] [stdout]    |          ^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> examples/performance_comparison_clustering.rs:19:13
[INFO] [stdout]    |
[INFO] [stdout] 19 |     let mut X = Array2::zeros((n_samples, n_features));
[INFO] [stdout]    |             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_test` should have a snake case name
[INFO] [stdout]   --> tests/comprehensive_integration_test.rs:99:19
[INFO] [stdout]    |
[INFO] [stdout] 99 |     let (X_train, X_test, y_train, y_test) = train_test_split(&X, &y, 0.3, Some(42)).unwrap();
[INFO] [stdout]    |                   ^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> examples/performance_comparison_clustering.rs:44:29
[INFO] [stdout]    |
[INFO] [stdout] 44 | fn benchmark_sklears_kmeans(X: &Array2<f64>, n_clusters: usize) -> (f64, f64) {
[INFO] [stdout]    |                             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> examples/performance_comparison_clustering.rs:77:29
[INFO] [stdout]    |
[INFO] [stdout] 77 | fn benchmark_sklears_dbscan(X: &Array2<f64>) -> f64 {
[INFO] [stdout]    |                             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> examples/performance_comparison_clustering.rs:184:13
[INFO] [stdout]     |
[INFO] [stdout] 184 |         let X = generate_clustering_data(n_samples, n_features, n_clusters);
[INFO] [stdout]     |             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_dbscan` should have a snake case name
[INFO] [stdout]    --> examples/performance_comparison_clustering.rs:191:13
[INFO] [stdout]     |
[INFO] [stdout] 191 |         let X_dbscan = X.slice(s![..dbscan_samples, ..]).to_owned();
[INFO] [stdout]     |             ^^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_dbscan`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_scaled` should have a snake case name
[INFO] [stdout]   --> tests/simple_integration_test.rs:20:9
[INFO] [stdout]    |
[INFO] [stdout] 20 |     let X_scaled = X.clone();
[INFO] [stdout]    |         ^^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_scaled`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/simple_integration_test.rs:55:10
[INFO] [stdout]    |
[INFO] [stdout] 55 |     let (X, y) = make_classification(30, 3, 2, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/simple_integration_test.rs:96:10
[INFO] [stdout]    |
[INFO] [stdout] 96 |     let (X, y) = make_classification(20, 3, 2, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X2` should have a snake case name
[INFO] [stdout]    --> tests/simple_integration_test.rs:108:10
[INFO] [stdout]     |
[INFO] [stdout] 108 |     let (X2, y2) = make_classification(20, 3, 2, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]     |          ^^ help: convert the identifier to snake case (notice the capitalization): `x2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> tests/simple_integration_test.rs:117:10
[INFO] [stdout]     |
[INFO] [stdout] 117 |     let (X, y) = make_classification(30, 4, 3, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]     |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_scaled` should have a snake case name
[INFO] [stdout]    --> tests/simple_integration_test.rs:120:9
[INFO] [stdout]     |
[INFO] [stdout] 120 |     let X_scaled = X.clone();
[INFO] [stdout]     |         ^^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_scaled`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_train` should have a snake case name
[INFO] [stdout]    --> tests/simple_integration_test.rs:138:9
[INFO] [stdout]     |
[INFO] [stdout] 138 |     let X_train = Array2::from_shape_vec((3, 2), vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]).unwrap();
[INFO] [stdout]     |         ^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_train`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_test` should have a snake case name
[INFO] [stdout]    --> tests/simple_integration_test.rs:140:9
[INFO] [stdout]     |
[INFO] [stdout] 140 |     let X_test = Array2::from_shape_vec((2, 3), vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]).unwrap(); // Wrong shape
[INFO] [stdout]     |         ^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_scaled` should have a snake case name
[INFO] [stdout]   --> tests/integration_test.rs:20:9
[INFO] [stdout]    |
[INFO] [stdout] 20 |     let X_scaled = X.clone();
[INFO] [stdout]    |         ^^^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_scaled`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/integration_test.rs:52:10
[INFO] [stdout]    |
[INFO] [stdout] 52 |     let (X, y_true) = make_classification(60, 2, 2, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X1` should have a snake case name
[INFO] [stdout]    --> tests/integration_test.rs:102:10
[INFO] [stdout]     |
[INFO] [stdout] 102 |     let (X1, y1) = make_classification(50, 3, 2, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]     |          ^^ help: convert the identifier to snake case (notice the capitalization): `x1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X2` should have a snake case name
[INFO] [stdout]    --> tests/integration_test.rs:103:10
[INFO] [stdout]     |
[INFO] [stdout] 103 |     let (X2, y2) = make_classification(50, 3, 2, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]     |          ^^ help: convert the identifier to snake case (notice the capitalization): `x2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X_test` should have a snake case name
[INFO] [stdout]    --> tests/integration_test.rs:127:9
[INFO] [stdout]     |
[INFO] [stdout] 127 |     let X_test = Array2::from_shape_vec(
[INFO] [stdout]     |         ^^^^^^ help: convert the identifier to snake case (notice the capitalization): `x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `logistic-regression`
[INFO] [stdout]   --> examples/linear_models_showcase.rs:10:7
[INFO] [stdout]    |
[INFO] [stdout] 10 | #[cfg(feature = "logistic-regression")]
[INFO] [stdout]    |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `all-algorithms`, `backend-blas`, `backend-cpu`, `backend-cuda`, `backend-wgpu`, `bench`, `calibration`, `clustering`, `compose`, `covariance`, `criterion`, `cross-decomposition`, `datasets`, `decomposition`, `default`, `dev`, `discriminant-analysis`, `dummy`, `ensemble`, `feature-extraction`, `feature-selection`, `gaussian-process`, `impute`, `inspection`, `isotonic`, `kernel-approximation`, `linear`, `manifold`, `metrics`, `mixture`, `model-selection`, `multiclass`, `multioutput`, `naive-bayes`, and `neighbors` and 38 more
[INFO] [stdout]    = help: consider adding `logistic-regression` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]    = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `logistic-regression`
[INFO] [stdout]   --> examples/linear_models_showcase.rs:72:11
[INFO] [stdout]    |
[INFO] [stdout] 72 |     #[cfg(feature = "logistic-regression")]
[INFO] [stdout]    |           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `all-algorithms`, `backend-blas`, `backend-cpu`, `backend-cuda`, `backend-wgpu`, `bench`, `calibration`, `clustering`, `compose`, `covariance`, `criterion`, `cross-decomposition`, `datasets`, `decomposition`, `default`, `dev`, `discriminant-analysis`, `dummy`, `ensemble`, `feature-extraction`, `feature-selection`, `gaussian-process`, `impute`, `inspection`, `isotonic`, `kernel-approximation`, `linear`, `manifold`, `metrics`, `mixture`, `model-selection`, `multiclass`, `multioutput`, `naive-bayes`, and `neighbors` and 38 more
[INFO] [stdout]    = help: consider adding `logistic-regression` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `logistic-regression`
[INFO] [stdout]    --> examples/linear_models_showcase.rs:129:15
[INFO] [stdout]     |
[INFO] [stdout] 129 |     #[cfg(not(feature = "logistic-regression"))]
[INFO] [stdout]     |               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected values for `feature` are: `all-algorithms`, `backend-blas`, `backend-cpu`, `backend-cuda`, `backend-wgpu`, `bench`, `calibration`, `clustering`, `compose`, `covariance`, `criterion`, `cross-decomposition`, `datasets`, `decomposition`, `default`, `dev`, `discriminant-analysis`, `dummy`, `ensemble`, `feature-extraction`, `feature-selection`, `gaussian-process`, `impute`, `inspection`, `isotonic`, `kernel-approximation`, `linear`, `manifold`, `metrics`, `mixture`, `model-selection`, `multiclass`, `multioutput`, `naive-bayes`, and `neighbors` and 38 more
[INFO] [stdout]     = help: consider adding `logistic-regression` as a feature in `Cargo.toml`
[INFO] [stdout]     = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `logistic-regression`
[INFO] [stdout]    --> examples/linear_models_showcase.rs:137:11
[INFO] [stdout]     |
[INFO] [stdout] 137 |     #[cfg(feature = "logistic-regression")]
[INFO] [stdout]     |           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected values for `feature` are: `all-algorithms`, `backend-blas`, `backend-cpu`, `backend-cuda`, `backend-wgpu`, `bench`, `calibration`, `clustering`, `compose`, `covariance`, `criterion`, `cross-decomposition`, `datasets`, `decomposition`, `default`, `dev`, `discriminant-analysis`, `dummy`, `ensemble`, `feature-extraction`, `feature-selection`, `gaussian-process`, `impute`, `inspection`, `isotonic`, `kernel-approximation`, `linear`, `manifold`, `metrics`, `mixture`, `model-selection`, `multiclass`, `multioutput`, `naive-bayes`, and `neighbors` and 38 more
[INFO] [stdout]     = help: consider adding `logistic-regression` as a feature in `Cargo.toml`
[INFO] [stdout]     = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `logistic-regression`
[INFO] [stdout]    --> examples/linear_models_showcase.rs:173:15
[INFO] [stdout]     |
[INFO] [stdout] 173 |     #[cfg(not(feature = "logistic-regression"))]
[INFO] [stdout]     |               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected values for `feature` are: `all-algorithms`, `backend-blas`, `backend-cpu`, `backend-cuda`, `backend-wgpu`, `bench`, `calibration`, `clustering`, `compose`, `covariance`, `criterion`, `cross-decomposition`, `datasets`, `decomposition`, `default`, `dev`, `discriminant-analysis`, `dummy`, `ensemble`, `feature-extraction`, `feature-selection`, `gaussian-process`, `impute`, `inspection`, `isotonic`, `kernel-approximation`, `linear`, `manifold`, `metrics`, `mixture`, `model-selection`, `multiclass`, `multioutput`, `naive-bayes`, and `neighbors` and 38 more
[INFO] [stdout]     = help: consider adding `logistic-regression` as a feature in `Cargo.toml`
[INFO] [stdout]     = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `preprocessing`
[INFO] [stdout]   --> tests/basic_functionality_test.rs:50:7
[INFO] [stdout]    |
[INFO] [stdout] 50 | #[cfg(feature = "preprocessing")]
[INFO] [stdout]    |       ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `all-algorithms`, `backend-blas`, `backend-cpu`, `backend-cuda`, `backend-wgpu`, `bench`, `calibration`, `clustering`, `compose`, `covariance`, `criterion`, `cross-decomposition`, `datasets`, `decomposition`, `default`, `dev`, `discriminant-analysis`, `dummy`, `ensemble`, `feature-extraction`, `feature-selection`, `gaussian-process`, `impute`, `inspection`, `isotonic`, `kernel-approximation`, `linear`, `manifold`, `metrics`, `mixture`, `model-selection`, `multiclass`, `multioutput`, `naive-bayes`, and `neighbors` and 38 more
[INFO] [stdout]    = help: consider adding `preprocessing` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]    = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> examples/performance_comparison_linear.rs:20:13
[INFO] [stdout]    |
[INFO] [stdout] 20 |     let mut X = Array2::zeros((n_samples, n_features));
[INFO] [stdout]    |             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> examples/performance_comparison_linear.rs:43:40
[INFO] [stdout]    |
[INFO] [stdout] 43 | fn benchmark_sklears_linear_regression(X: &Array2<f64>, y: &Array1<f64>) -> (f64, f64) {
[INFO] [stdout]    |                                        ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> examples/performance_comparison_linear.rs:133:14
[INFO] [stdout]     |
[INFO] [stdout] 133 |         let (X, y) = generate_regression_data(n_samples, n_features);
[INFO] [stdout]     |              ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> examples/gmm_clustering.rs:199:16
[INFO] [stdout]     |
[INFO] [stdout] 199 |     for (idx, (i, unc, p1, p2)) in uncertain_points.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 variable: `y_train`
[INFO] [stdout]   --> examples/quickstart.rs:26:19
[INFO] [stdout]    |
[INFO] [stdout] 26 |     let (x_train, y_train) = (&dataset.data, &dataset.target);
[INFO] [stdout]    |                   ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_train`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `dataframe_to_array_example` is never used
[INFO] [stdout]   --> examples/data_integration.rs:71:4
[INFO] [stdout]    |
[INFO] [stdout] 71 | fn dataframe_to_array_example(
[INFO] [stdout]    |    ^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/basic_integration_test.rs:15:10
[INFO] [stdout]    |
[INFO] [stdout] 15 |     let (X, y) = make_classification(50, 2, 2, None, None, 0.0, 3.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X1` should have a snake case name
[INFO] [stdout]   --> tests/basic_integration_test.rs:54:10
[INFO] [stdout]    |
[INFO] [stdout] 54 |     let (X1, y1) = make_classification(30, 3, 2, None, None, 0.0, 1.0, Some(123)).unwrap();
[INFO] [stdout]    |          ^^ help: convert the identifier to snake case (notice the capitalization): `x1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X2` should have a snake case name
[INFO] [stdout]   --> tests/basic_integration_test.rs:55:10
[INFO] [stdout]    |
[INFO] [stdout] 55 |     let (X2, y2) = make_classification(30, 3, 2, None, None, 0.0, 1.0, Some(123)).unwrap();
[INFO] [stdout]    |          ^^ help: convert the identifier to snake case (notice the capitalization): `x2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/basic_functionality_test.rs:15:9
[INFO] [stdout]    |
[INFO] [stdout] 15 |     let X = Array2::from_shape_vec(
[INFO] [stdout]    |         ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> tests/basic_functionality_test.rs:74:10
[INFO] [stdout]    |
[INFO] [stdout] 74 |     let (X, y) = make_classification(10, 3, 2, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X2` should have a snake case name
[INFO] [stdout]   --> tests/basic_functionality_test.rs:80:10
[INFO] [stdout]    |
[INFO] [stdout] 80 |     let (X2, y2) = make_classification(10, 3, 2, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]    |          ^^ help: convert the identifier to snake case (notice the capitalization): `x2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> tests/basic_functionality_test.rs:134:9
[INFO] [stdout]     |
[INFO] [stdout] 134 |     let X = Array2::from_shape_vec(
[INFO] [stdout]     |         ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y`
[INFO] [stdout]   --> benches/advanced_performance_benchmarks.rs:23:17
[INFO] [stdout]    |
[INFO] [stdout] 23 |         let (X, y) =
[INFO] [stdout]    |                 ^ help: if this is intentional, prefix it with an underscore: `_y`
[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/lasso_regression.rs:7:39
[INFO] [stdout]   |
[INFO] [stdout] 7 | 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: `y`
[INFO] [stdout]   --> benches/advanced_performance_benchmarks.rs:85:17
[INFO] [stdout]    |
[INFO] [stdout] 85 |         let (X, y) =
[INFO] [stdout]    |                 ^ help: if this is intentional, prefix it with an underscore: `_y`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> benches/advanced_performance_benchmarks.rs:23:14
[INFO] [stdout]    |
[INFO] [stdout] 23 |         let (X, y) =
[INFO] [stdout]    |              ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> benches/advanced_performance_benchmarks.rs:56:17
[INFO] [stdout]    |
[INFO] [stdout] 56 |             |b, X| b.iter(|| black_box(X.t().to_owned())),
[INFO] [stdout]    |                 ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> benches/advanced_performance_benchmarks.rs:64:21
[INFO] [stdout]    |
[INFO] [stdout] 64 |                 |b, X| {
[INFO] [stdout]    |                     ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]   --> benches/advanced_performance_benchmarks.rs:85:14
[INFO] [stdout]    |
[INFO] [stdout] 85 |         let (X, y) =
[INFO] [stdout]    |              ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:115:86
[INFO] [stdout]     |
[INFO] [stdout] 115 |         group.bench_with_input(BenchmarkId::new("column_means", n_features), &X, |b, X| {
[INFO] [stdout]     |                                                                                      ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:127:84
[INFO] [stdout]     |
[INFO] [stdout] 127 |         group.bench_with_input(BenchmarkId::new("column_std", n_features), &X, |b, X| {
[INFO] [stdout]     |                                                                                    ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:151:14
[INFO] [stdout]     |
[INFO] [stdout] 151 |         let (X, y) = make_classification(n_samples, 10, 3, None, None, 0.0, 1.0, Some(42)).unwrap();
[INFO] [stdout]     |              ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:159:18
[INFO] [stdout]     |
[INFO] [stdout] 159 |             |b, (X, y)| {
[INFO] [stdout]     |                  ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: using `.clone()` on a double reference, which returns `&ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>` instead of cloning the inner type
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:162:41
[INFO] [stdout]     |
[INFO] [stdout] 162 |                         let copied_x = X.clone();
[INFO] [stdout]     |                                         ^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(suspicious_double_ref_op)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: using `.clone()` on a double reference, which returns `&ArrayBase<OwnedRepr<i32>, Dim<[usize; 1]>>` instead of cloning the inner type
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:163:41
[INFO] [stdout]     |
[INFO] [stdout] 163 |                         let copied_y = y.clone();
[INFO] [stdout]     |                                         ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:174:17
[INFO] [stdout]     |
[INFO] [stdout] 174 |             |b, X| {
[INFO] [stdout]     |                 ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:186:17
[INFO] [stdout]     |
[INFO] [stdout] 186 |             |b, X| {
[INFO] [stdout]     |                 ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:195:83
[INFO] [stdout]     |
[INFO] [stdout] 195 |         group.bench_with_input(BenchmarkId::new("row_access", n_samples), &X, |b, X| {
[INFO] [stdout]     |                                                                                   ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:207:86
[INFO] [stdout]     |
[INFO] [stdout] 207 |         group.bench_with_input(BenchmarkId::new("column_access", n_samples), &X, |b, X| {
[INFO] [stdout]     |                                                                                      ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:287:13
[INFO] [stdout]     |
[INFO] [stdout] 287 |         let X = Array2::<f64>::zeros((rows, cols));
[INFO] [stdout]     |             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:295:17
[INFO] [stdout]     |
[INFO] [stdout] 295 |             |b, X| {
[INFO] [stdout]     |                 ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:312:17
[INFO] [stdout]     |
[INFO] [stdout] 312 |             |b, X| {
[INFO] [stdout]     |                 ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> benches/advanced_performance_benchmarks.rs:332:17
[INFO] [stdout]     |
[INFO] [stdout] 332 |             |b, X| {
[INFO] [stdout]     |                 ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 2m 55s
[INFO] running `Command { std: "docker" "inspect" "1f2272f16feb77b140ac5dabef2bb915dc2d2bc65ce9a3cdecf54daea1721fd7", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "1f2272f16feb77b140ac5dabef2bb915dc2d2bc65ce9a3cdecf54daea1721fd7", kill_on_drop: false }`
[INFO] [stdout] 1f2272f16feb77b140ac5dabef2bb915dc2d2bc65ce9a3cdecf54daea1721fd7
