[INFO] cloning repository https://github.com/cmccomb/smartcore_vs_linfa [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/cmccomb/smartcore_vs_linfa" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fcmccomb%2Fsmartcore_vs_linfa", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fcmccomb%2Fsmartcore_vs_linfa'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] 41add3cb9a127f5fda41aba7ea17f345b987cd4b [INFO] building cmccomb/smartcore_vs_linfa against try#615edd3ad1cf6871c977dc900317cb6c2070fd6b for pr-97334 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fcmccomb%2Fsmartcore_vs_linfa" "/workspace/builds/worker-35/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-35/source'... [INFO] [stderr] done. [INFO] validating manifest of git repo https://github.com/cmccomb/smartcore_vs_linfa on toolchain 615edd3ad1cf6871c977dc900317cb6c2070fd6b [INFO] running `Command { std: "/workspace/cargo-home/bin/cargo" "+615edd3ad1cf6871c977dc900317cb6c2070fd6b" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] started tweaking git repo https://github.com/cmccomb/smartcore_vs_linfa [INFO] finished tweaking git repo https://github.com/cmccomb/smartcore_vs_linfa [INFO] tweaked toml for git repo https://github.com/cmccomb/smartcore_vs_linfa written to /workspace/builds/worker-35/source/Cargo.toml [INFO] running `Command { std: "/workspace/cargo-home/bin/cargo" "+615edd3ad1cf6871c977dc900317cb6c2070fd6b" "generate-lockfile" "--manifest-path" "Cargo.toml" "-Zno-index-update", kill_on_drop: false }` [INFO] running `Command { std: "/workspace/cargo-home/bin/cargo" "+615edd3ad1cf6871c977dc900317cb6c2070fd6b" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-35/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-35/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:ac0d0aa6ec8ed129e241004a6179c99fa0d2616f50ba759c5b60bd26d0fafa02" "/opt/rustwide/cargo-home/bin/cargo" "+615edd3ad1cf6871c977dc900317cb6c2070fd6b" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] e90d848e391201d5854d23c281127a78f2206d47f93720fca7c97a3aab68db90 [INFO] running `Command { std: "docker" "start" "-a" "e90d848e391201d5854d23c281127a78f2206d47f93720fca7c97a3aab68db90", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "e90d848e391201d5854d23c281127a78f2206d47f93720fca7c97a3aab68db90", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "e90d848e391201d5854d23c281127a78f2206d47f93720fca7c97a3aab68db90", kill_on_drop: false }` [INFO] [stdout] e90d848e391201d5854d23c281127a78f2206d47f93720fca7c97a3aab68db90 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-35/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-35/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" "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:ac0d0aa6ec8ed129e241004a6179c99fa0d2616f50ba759c5b60bd26d0fafa02" "/opt/rustwide/cargo-home/bin/cargo" "+615edd3ad1cf6871c977dc900317cb6c2070fd6b" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] fdee17b6f802aead95906a49ebf800a245d906110402a83cbb2ee203c1f1bd23 [INFO] running `Command { std: "docker" "start" "-a" "fdee17b6f802aead95906a49ebf800a245d906110402a83cbb2ee203c1f1bd23", kill_on_drop: false }` [INFO] [stderr] Compiling autocfg v1.1.0 [INFO] [stderr] Compiling libc v0.2.126 [INFO] [stderr] Compiling proc-macro2 v1.0.39 [INFO] [stderr] Compiling unicode-ident v1.0.0 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bincode v1.3.3 [INFO] [stderr] Compiling rand_chacha v0.3.1 [INFO] [stderr] Compiling rand_xorshift v0.3.0 [INFO] [stderr] Compiling rand_isaac v0.3.0 [INFO] [stderr] Compiling rand v0.8.5 [INFO] [stderr] Compiling slog-json v2.6.1 [INFO] [stderr] Compiling num-complex v0.4.1 [INFO] [stderr] Compiling rand_distr v0.4.3 [INFO] [stderr] Compiling ndarray v0.15.4 [INFO] [stderr] Compiling cauchy v0.4.0 [INFO] [stderr] Compiling lapack v0.18.0 [INFO] [stderr] Compiling num v0.4.0 [INFO] [stderr] Compiling smartcore v0.2.1 [INFO] [stderr] Compiling lax v0.2.0 [INFO] [stderr] Compiling ndarray-linalg v0.14.1 [INFO] [stderr] Compiling ndarray-stats v0.5.0 [INFO] [stderr] Compiling ndarray-rand v0.14.0 [INFO] [stderr] Compiling sprs v0.11.0 [INFO] [stderr] Compiling argmin v0.4.7 [INFO] [stderr] Compiling linfa-nn v0.5.1 [INFO] [stderr] Compiling linfa-bayes v0.5.1 [INFO] [stderr] Compiling linfa-trees v0.5.1 [INFO] [stderr] Compiling linfa-elasticnet v0.5.1 [INFO] [stderr] Compiling linfa-kernel v0.5.1 [INFO] [stderr] Compiling linfa-clustering v0.5.1 [INFO] [stderr] Compiling linfa-reduction v0.5.1 [INFO] [stderr] Compiling linfa-svm v0.5.1 [INFO] [stderr] Compiling linfa-logistic v0.5.1 [INFO] [stderr] Compiling linfa-linear v0.5.1 [INFO] [stderr] Compiling smartcore_vs_linfa v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `FittedLogisticRegression` [INFO] [stdout] --> src/classification.rs:3:22 [INFO] [stdout] | [INFO] [stdout] 3 | use linfa_logistic::{FittedLogisticRegression, LogisticRegression as LinfaLogisticRegression}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `DecisionTree` [INFO] [stdout] --> src/classification.rs:5:54 [INFO] [stdout] | [INFO] [stdout] 5 | use linfa_trees::{DecisionTree as LinfaDecisionTree, DecisionTree, SplitQuality}; [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::linear::logistic_regression::LogisticRegression` [INFO] [stdout] --> src/classification.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use smartcore::linear::logistic_regression::LogisticRegression; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `math::distance::euclidian::Euclidian` [INFO] [stdout] --> src/clustering.rs:11:5 [INFO] [stdout] | [INFO] [stdout] 11 | math::distance::euclidian::Euclidian, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ElasticNet` [INFO] [stdout] --> src/regression.rs:2:55 [INFO] [stdout] | [INFO] [stdout] 2 | use linfa_elasticnet::{ElasticNet as LinfaElasticNet, ElasticNet}; [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `FittedLinearRegression` [INFO] [stdout] --> src/regression.rs:3:20 [INFO] [stdout] | [INFO] [stdout] 3 | use linfa_linear::{FittedLinearRegression, LinearRegression as LinfaLinearRegression}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:72:5 [INFO] [stdout] | [INFO] [stdout] 72 | SCLogisticRegression::fit(x, y, Default::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_must_use)]` on by default [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:81:5 [INFO] [stdout] | [INFO] [stdout] 81 | / LinfaLogisticRegression::default() [INFO] [stdout] 82 | | .gradient_tolerance(1e-8) [INFO] [stdout] 83 | | .max_iterations(1000) [INFO] [stdout] 84 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:94:5 [INFO] [stdout] | [INFO] [stdout] 94 | / DecisionTreeClassifier::fit( [INFO] [stdout] 95 | | x, [INFO] [stdout] 96 | | y, [INFO] [stdout] 97 | | DecisionTreeClassifierParameters::default() [INFO] [stdout] ... | [INFO] [stdout] 101 | | .with_min_samples_split(1), [INFO] [stdout] 102 | | ); [INFO] [stdout] | |______^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:111:5 [INFO] [stdout] | [INFO] [stdout] 111 | / LinfaDecisionTree::params() [INFO] [stdout] 112 | | .split_quality(SplitQuality::Gini) [INFO] [stdout] 113 | | .max_depth(Some(100)) [INFO] [stdout] 114 | | .min_weight_split(1.0) [INFO] [stdout] 115 | | .min_weight_leaf(1.0) [INFO] [stdout] 116 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:126:5 [INFO] [stdout] | [INFO] [stdout] 126 | SCGaussianNB::fit(x, y, GaussianNBParameters::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:135:5 [INFO] [stdout] | [INFO] [stdout] 135 | LinfaGaussianNb::params().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:145:5 [INFO] [stdout] | [INFO] [stdout] 145 | SCSVC::fit(x, y, SVCParameters::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:154:5 [INFO] [stdout] | [INFO] [stdout] 154 | LinfaSvm::<_, bool>::params().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:48:5 [INFO] [stdout] | [INFO] [stdout] 48 | / LinfaKMeans::params(5) [INFO] [stdout] 49 | | .max_n_iterations(10) [INFO] [stdout] 50 | | .n_runs(1) [INFO] [stdout] 51 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:60:5 [INFO] [stdout] | [INFO] [stdout] 60 | SCKMeans::fit(x, KMeansParameters::default().with_k(5).with_max_iter(10)); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:69:5 [INFO] [stdout] | [INFO] [stdout] 69 | LinfaDbscan::params(5).transform(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:78:5 [INFO] [stdout] | [INFO] [stdout] 78 | / SCDBSCAN::fit( [INFO] [stdout] 79 | | x, [INFO] [stdout] 80 | | DBSCANParameters::default() [INFO] [stdout] 81 | | .with_min_samples(5) [INFO] [stdout] 82 | | .with_eps(1e-4), [INFO] [stdout] 83 | | ); [INFO] [stdout] | |______^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:60:5 [INFO] [stdout] | [INFO] [stdout] 60 | SCLinearRegression::fit(x, y, Default::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:69:5 [INFO] [stdout] | [INFO] [stdout] 69 | LinfaLinearRegression::new().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:79:5 [INFO] [stdout] | [INFO] [stdout] 79 | / SCElasticNet::fit( [INFO] [stdout] 80 | | x, [INFO] [stdout] 81 | | y, [INFO] [stdout] 82 | | ElasticNetParameters::default() [INFO] [stdout] ... | [INFO] [stdout] 86 | | .with_tol(1e-4), [INFO] [stdout] 87 | | ); [INFO] [stdout] | |______^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:96:5 [INFO] [stdout] | [INFO] [stdout] 96 | / LinfaElasticNet::params() [INFO] [stdout] 97 | | .penalty(0.5) [INFO] [stdout] 98 | | .l1_ratio(0.5) [INFO] [stdout] 99 | | .max_iterations(1000) [INFO] [stdout] 100 | | .tolerance(1e-4) [INFO] [stdout] 101 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:111:5 [INFO] [stdout] | [INFO] [stdout] 111 | SCSVR::fit(x, y, SVRParameters::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:120:5 [INFO] [stdout] | [INFO] [stdout] 120 | LinfaSvm::<_, f64>::params().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/dimensionality_reduction.rs:15:5 [INFO] [stdout] | [INFO] [stdout] 15 | LinfaPca::params(3).fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/dimensionality_reduction.rs:24:5 [INFO] [stdout] | [INFO] [stdout] 24 | SCPCA::fit(x, PCAParameters::default().with_n_components(3)); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 26 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished dev [unoptimized + debuginfo] target(s) in 35.26s [INFO] running `Command { std: "docker" "inspect" "fdee17b6f802aead95906a49ebf800a245d906110402a83cbb2ee203c1f1bd23", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "fdee17b6f802aead95906a49ebf800a245d906110402a83cbb2ee203c1f1bd23", kill_on_drop: false }` [INFO] [stdout] fdee17b6f802aead95906a49ebf800a245d906110402a83cbb2ee203c1f1bd23 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-35/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-35/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" "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:ac0d0aa6ec8ed129e241004a6179c99fa0d2616f50ba759c5b60bd26d0fafa02" "/opt/rustwide/cargo-home/bin/cargo" "+615edd3ad1cf6871c977dc900317cb6c2070fd6b" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] c41d856b1a277de535f97f8fda0b3f3dc2e6c3116b14dfd7fb118a69676af7e5 [INFO] running `Command { std: "docker" "start" "-a" "c41d856b1a277de535f97f8fda0b3f3dc2e6c3116b14dfd7fb118a69676af7e5", kill_on_drop: false }` [INFO] [stderr] Compiling semver v1.0.9 [INFO] [stderr] Compiling memchr v2.5.0 [INFO] [stderr] Compiling plotters-backend v0.3.2 [INFO] [stderr] Compiling regex-automata v0.1.10 [INFO] [stderr] Compiling regex-syntax v0.6.26 [INFO] [stderr] Compiling bitflags v1.3.2 [INFO] [stderr] Compiling half v1.8.2 [INFO] [stderr] Compiling itoa v0.4.8 [INFO] [stderr] Compiling oorandom v11.1.3 [INFO] [stderr] Compiling itertools v0.10.3 [INFO] [stderr] Compiling textwrap v0.11.0 [INFO] [stderr] Compiling tinytemplate v1.2.1 [INFO] [stderr] Compiling clap v2.34.0 [INFO] [stderr] Compiling serde_cbor v0.11.2 [INFO] [stderr] Compiling plotters-svg v0.3.1 [INFO] [stderr] Compiling plotters v0.3.1 [INFO] [stderr] Compiling rustc_version v0.4.0 [INFO] [stderr] Compiling bstr v0.2.17 [INFO] [stderr] Compiling csv-core v0.1.10 [INFO] [stderr] Compiling cast v0.2.7 [INFO] [stderr] Compiling regex v1.5.6 [INFO] [stderr] Compiling csv v1.1.6 [INFO] [stderr] Compiling ndarray-stats v0.5.0 [INFO] [stderr] Compiling criterion-plot v0.4.4 [INFO] [stderr] Compiling linfa-nn v0.5.1 [INFO] [stderr] Compiling linfa-bayes v0.5.1 [INFO] [stderr] Compiling linfa-logistic v0.5.1 [INFO] [stderr] Compiling linfa-linear v0.5.1 [INFO] [stderr] Compiling linfa-kernel v0.5.1 [INFO] [stderr] Compiling linfa-clustering v0.5.1 [INFO] [stderr] Compiling criterion v0.3.5 [INFO] [stderr] Compiling linfa-reduction v0.5.1 [INFO] [stderr] Compiling linfa-svm v0.5.1 [INFO] [stderr] Compiling smartcore_vs_linfa v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `FittedLogisticRegression` [INFO] [stdout] --> src/classification.rs:3:22 [INFO] [stdout] | [INFO] [stdout] 3 | use linfa_logistic::{FittedLogisticRegression, LogisticRegression as LinfaLogisticRegression}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `DecisionTree` [INFO] [stdout] --> src/classification.rs:5:54 [INFO] [stdout] | [INFO] [stdout] 5 | use linfa_trees::{DecisionTree as LinfaDecisionTree, DecisionTree, SplitQuality}; [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::linear::logistic_regression::LogisticRegression` [INFO] [stdout] --> src/classification.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use smartcore::linear::logistic_regression::LogisticRegression; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `math::distance::euclidian::Euclidian` [INFO] [stdout] --> src/clustering.rs:11:5 [INFO] [stdout] | [INFO] [stdout] 11 | math::distance::euclidian::Euclidian, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ElasticNet` [INFO] [stdout] --> src/regression.rs:2:55 [INFO] [stdout] | [INFO] [stdout] 2 | use linfa_elasticnet::{ElasticNet as LinfaElasticNet, ElasticNet}; [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `FittedLinearRegression` [INFO] [stdout] --> src/regression.rs:3:20 [INFO] [stdout] | [INFO] [stdout] 3 | use linfa_linear::{FittedLinearRegression, LinearRegression as LinfaLinearRegression}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:72:5 [INFO] [stdout] | [INFO] [stdout] 72 | SCLogisticRegression::fit(x, y, Default::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_must_use)]` on by default [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:81:5 [INFO] [stdout] | [INFO] [stdout] 81 | / LinfaLogisticRegression::default() [INFO] [stdout] 82 | | .gradient_tolerance(1e-8) [INFO] [stdout] 83 | | .max_iterations(1000) [INFO] [stdout] 84 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:94:5 [INFO] [stdout] | [INFO] [stdout] 94 | / DecisionTreeClassifier::fit( [INFO] [stdout] 95 | | x, [INFO] [stdout] 96 | | y, [INFO] [stdout] 97 | | DecisionTreeClassifierParameters::default() [INFO] [stdout] ... | [INFO] [stdout] 101 | | .with_min_samples_split(1), [INFO] [stdout] 102 | | ); [INFO] [stdout] | |______^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:111:5 [INFO] [stdout] | [INFO] [stdout] 111 | / LinfaDecisionTree::params() [INFO] [stdout] 112 | | .split_quality(SplitQuality::Gini) [INFO] [stdout] 113 | | .max_depth(Some(100)) [INFO] [stdout] 114 | | .min_weight_split(1.0) [INFO] [stdout] 115 | | .min_weight_leaf(1.0) [INFO] [stdout] 116 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:126:5 [INFO] [stdout] | [INFO] [stdout] 126 | SCGaussianNB::fit(x, y, GaussianNBParameters::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:135:5 [INFO] [stdout] | [INFO] [stdout] 135 | LinfaGaussianNb::params().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:145:5 [INFO] [stdout] | [INFO] [stdout] 145 | SCSVC::fit(x, y, SVCParameters::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:154:5 [INFO] [stdout] | [INFO] [stdout] 154 | LinfaSvm::<_, bool>::params().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:48:5 [INFO] [stdout] | [INFO] [stdout] 48 | / LinfaKMeans::params(5) [INFO] [stdout] 49 | | .max_n_iterations(10) [INFO] [stdout] 50 | | .n_runs(1) [INFO] [stdout] 51 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:60:5 [INFO] [stdout] | [INFO] [stdout] 60 | SCKMeans::fit(x, KMeansParameters::default().with_k(5).with_max_iter(10)); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:69:5 [INFO] [stdout] | [INFO] [stdout] 69 | LinfaDbscan::params(5).transform(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:78:5 [INFO] [stdout] | [INFO] [stdout] 78 | / SCDBSCAN::fit( [INFO] [stdout] 79 | | x, [INFO] [stdout] 80 | | DBSCANParameters::default() [INFO] [stdout] 81 | | .with_min_samples(5) [INFO] [stdout] 82 | | .with_eps(1e-4), [INFO] [stdout] 83 | | ); [INFO] [stdout] | |______^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:60:5 [INFO] [stdout] | [INFO] [stdout] 60 | SCLinearRegression::fit(x, y, Default::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:69:5 [INFO] [stdout] | [INFO] [stdout] 69 | LinfaLinearRegression::new().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:79:5 [INFO] [stdout] | [INFO] [stdout] 79 | / SCElasticNet::fit( [INFO] [stdout] 80 | | x, [INFO] [stdout] 81 | | y, [INFO] [stdout] 82 | | ElasticNetParameters::default() [INFO] [stdout] ... | [INFO] [stdout] 86 | | .with_tol(1e-4), [INFO] [stdout] 87 | | ); [INFO] [stdout] | |______^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:96:5 [INFO] [stdout] | [INFO] [stdout] 96 | / LinfaElasticNet::params() [INFO] [stdout] 97 | | .penalty(0.5) [INFO] [stdout] 98 | | .l1_ratio(0.5) [INFO] [stdout] 99 | | .max_iterations(1000) [INFO] [stdout] 100 | | .tolerance(1e-4) [INFO] [stdout] 101 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:111:5 [INFO] [stdout] | [INFO] [stdout] 111 | SCSVR::fit(x, y, SVRParameters::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:120:5 [INFO] [stdout] | [INFO] [stdout] 120 | LinfaSvm::<_, f64>::params().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/dimensionality_reduction.rs:15:5 [INFO] [stdout] | [INFO] [stdout] 15 | LinfaPca::params(3).fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/dimensionality_reduction.rs:24:5 [INFO] [stdout] | [INFO] [stdout] 24 | SCPCA::fit(x, PCAParameters::default().with_n_components(3)); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 26 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `FittedLogisticRegression` [INFO] [stdout] --> src/classification.rs:3:22 [INFO] [stdout] | [INFO] [stdout] 3 | use linfa_logistic::{FittedLogisticRegression, LogisticRegression as LinfaLogisticRegression}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `DecisionTree` [INFO] [stdout] --> src/classification.rs:5:54 [INFO] [stdout] | [INFO] [stdout] 5 | use linfa_trees::{DecisionTree as LinfaDecisionTree, DecisionTree, SplitQuality}; [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `smartcore::linear::logistic_regression::LogisticRegression` [INFO] [stdout] --> src/classification.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use smartcore::linear::logistic_regression::LogisticRegression; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `math::distance::euclidian::Euclidian` [INFO] [stdout] --> src/clustering.rs:11:5 [INFO] [stdout] | [INFO] [stdout] 11 | math::distance::euclidian::Euclidian, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ElasticNet` [INFO] [stdout] --> src/regression.rs:2:55 [INFO] [stdout] | [INFO] [stdout] 2 | use linfa_elasticnet::{ElasticNet as LinfaElasticNet, ElasticNet}; [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `FittedLinearRegression` [INFO] [stdout] --> src/regression.rs:3:20 [INFO] [stdout] | [INFO] [stdout] 3 | use linfa_linear::{FittedLinearRegression, LinearRegression as LinfaLinearRegression}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:72:5 [INFO] [stdout] | [INFO] [stdout] 72 | SCLogisticRegression::fit(x, y, Default::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_must_use)]` on by default [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:81:5 [INFO] [stdout] | [INFO] [stdout] 81 | / LinfaLogisticRegression::default() [INFO] [stdout] 82 | | .gradient_tolerance(1e-8) [INFO] [stdout] 83 | | .max_iterations(1000) [INFO] [stdout] 84 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:94:5 [INFO] [stdout] | [INFO] [stdout] 94 | / DecisionTreeClassifier::fit( [INFO] [stdout] 95 | | x, [INFO] [stdout] 96 | | y, [INFO] [stdout] 97 | | DecisionTreeClassifierParameters::default() [INFO] [stdout] ... | [INFO] [stdout] 101 | | .with_min_samples_split(1), [INFO] [stdout] 102 | | ); [INFO] [stdout] | |______^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:111:5 [INFO] [stdout] | [INFO] [stdout] 111 | / LinfaDecisionTree::params() [INFO] [stdout] 112 | | .split_quality(SplitQuality::Gini) [INFO] [stdout] 113 | | .max_depth(Some(100)) [INFO] [stdout] 114 | | .min_weight_split(1.0) [INFO] [stdout] 115 | | .min_weight_leaf(1.0) [INFO] [stdout] 116 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:126:5 [INFO] [stdout] | [INFO] [stdout] 126 | SCGaussianNB::fit(x, y, GaussianNBParameters::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:135:5 [INFO] [stdout] | [INFO] [stdout] 135 | LinfaGaussianNb::params().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:145:5 [INFO] [stdout] | [INFO] [stdout] 145 | SCSVC::fit(x, y, SVCParameters::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/classification.rs:154:5 [INFO] [stdout] | [INFO] [stdout] 154 | LinfaSvm::<_, bool>::params().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:48:5 [INFO] [stdout] | [INFO] [stdout] 48 | / LinfaKMeans::params(5) [INFO] [stdout] 49 | | .max_n_iterations(10) [INFO] [stdout] 50 | | .n_runs(1) [INFO] [stdout] 51 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:60:5 [INFO] [stdout] | [INFO] [stdout] 60 | SCKMeans::fit(x, KMeansParameters::default().with_k(5).with_max_iter(10)); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:69:5 [INFO] [stdout] | [INFO] [stdout] 69 | LinfaDbscan::params(5).transform(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/clustering.rs:78:5 [INFO] [stdout] | [INFO] [stdout] 78 | / SCDBSCAN::fit( [INFO] [stdout] 79 | | x, [INFO] [stdout] 80 | | DBSCANParameters::default() [INFO] [stdout] 81 | | .with_min_samples(5) [INFO] [stdout] 82 | | .with_eps(1e-4), [INFO] [stdout] 83 | | ); [INFO] [stdout] | |______^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:60:5 [INFO] [stdout] | [INFO] [stdout] 60 | SCLinearRegression::fit(x, y, Default::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:69:5 [INFO] [stdout] | [INFO] [stdout] 69 | LinfaLinearRegression::new().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:79:5 [INFO] [stdout] | [INFO] [stdout] 79 | / SCElasticNet::fit( [INFO] [stdout] 80 | | x, [INFO] [stdout] 81 | | y, [INFO] [stdout] 82 | | ElasticNetParameters::default() [INFO] [stdout] ... | [INFO] [stdout] 86 | | .with_tol(1e-4), [INFO] [stdout] 87 | | ); [INFO] [stdout] | |______^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:96:5 [INFO] [stdout] | [INFO] [stdout] 96 | / LinfaElasticNet::params() [INFO] [stdout] 97 | | .penalty(0.5) [INFO] [stdout] 98 | | .l1_ratio(0.5) [INFO] [stdout] 99 | | .max_iterations(1000) [INFO] [stdout] 100 | | .tolerance(1e-4) [INFO] [stdout] 101 | | .fit(dataset); [INFO] [stdout] | |______________________^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:111:5 [INFO] [stdout] | [INFO] [stdout] 111 | SCSVR::fit(x, y, SVRParameters::default()); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/regression.rs:120:5 [INFO] [stdout] | [INFO] [stdout] 120 | LinfaSvm::<_, f64>::params().fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/dimensionality_reduction.rs:15:5 [INFO] [stdout] | [INFO] [stdout] 15 | LinfaPca::params(3).fit(dataset); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/dimensionality_reduction.rs:24:5 [INFO] [stdout] | [INFO] [stdout] 24 | SCPCA::fit(x, PCAParameters::default().with_n_components(3)); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 26 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished test [unoptimized + debuginfo] target(s) in 9.00s [INFO] [stderr] Executable unittests src/lib.rs (/opt/rustwide/target/debug/deps/smartcore_vs_linfa-502d82263fbf8c5a) [INFO] running `Command { std: "docker" "inspect" "c41d856b1a277de535f97f8fda0b3f3dc2e6c3116b14dfd7fb118a69676af7e5", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "c41d856b1a277de535f97f8fda0b3f3dc2e6c3116b14dfd7fb118a69676af7e5", kill_on_drop: false }` [INFO] [stdout] c41d856b1a277de535f97f8fda0b3f3dc2e6c3116b14dfd7fb118a69676af7e5