[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] 7a5911088943f1d5d64798ea595ea7a4c8a32571 [INFO] testing cmccomb/smartcore_vs_linfa against 1.60.0 for beta-1.61-1 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fcmccomb%2Fsmartcore_vs_linfa" "/workspace/builds/worker-37/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-37/source'... 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running `Command { std: "docker" "start" "-a" "fc3e82cc7fb822f247e559e7283943c17b3cefa8aeb7fee55ef8e4dfd51ead70", kill_on_drop: false }` [INFO] [stderr] Compiling libc v0.2.123 [INFO] [stderr] Compiling proc-macro2 v1.0.37 [INFO] [stderr] Compiling syn v1.0.91 [INFO] [stderr] Compiling libm v0.2.2 [INFO] [stderr] Compiling serde_derive v1.0.136 [INFO] [stderr] Compiling serde v1.0.136 [INFO] [stderr] Compiling ppv-lite86 v0.2.16 [INFO] [stderr] Compiling rayon-core v1.9.2 [INFO] [stderr] Compiling rawpointer v0.2.1 [INFO] [stderr] Compiling same-file v1.0.6 [INFO] [stderr] Compiling anyhow v1.0.48 [INFO] [stderr] Compiling linfa v0.5.1 [INFO] [stderr] Compiling hashbrown v0.11.2 [INFO] [stderr] Compiling slog v2.7.0 [INFO] [stderr] Compiling getrandom v0.1.16 [INFO] [stderr] Compiling itoa v1.0.1 [INFO] [stderr] Compiling time-macros v0.2.4 [INFO] [stderr] Compiling num_threads v0.1.5 [INFO] [stderr] Compiling serde_json v1.0.79 [INFO] [stderr] Compiling ryu v1.0.9 [INFO] [stderr] 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[INFO] [stderr] Compiling openblas-src v0.10.4 [INFO] [stderr] Compiling rand_core v0.6.3 [INFO] [stderr] Compiling bincode v1.3.3 [INFO] [stderr] Compiling smartcore v0.2.0 [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 v0.4.0 [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 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-elasticnet v0.5.1 [INFO] [stderr] Compiling linfa-trees v0.5.1 [INFO] [stderr] Compiling linfa-bayes v0.5.1 [INFO] [stderr] Compiling linfa-linear v0.5.1 [INFO] [stderr] Compiling linfa-logistic 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 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 3m 23s [INFO] running `Command { std: "docker" "inspect" "fc3e82cc7fb822f247e559e7283943c17b3cefa8aeb7fee55ef8e4dfd51ead70", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "fc3e82cc7fb822f247e559e7283943c17b3cefa8aeb7fee55ef8e4dfd51ead70", kill_on_drop: false }` [INFO] [stdout] fc3e82cc7fb822f247e559e7283943c17b3cefa8aeb7fee55ef8e4dfd51ead70 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-37/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-37/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=warn" "-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:b0c94ce3c1162fcb8e57cac5b65ec2f72eabb1eebea4fcc35e269e823f681646" "/opt/rustwide/cargo-home/bin/cargo" "+1.60.0" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] a4448ca4c589a787c5a51601a0ebbf64867115e91bca03fb358eda1b2963f255 [INFO] running `Command { std: "docker" "start" "-a" "a4448ca4c589a787c5a51601a0ebbf64867115e91bca03fb358eda1b2963f255", kill_on_drop: false }` [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] [stderr] Compiling semver v1.0.7 [INFO] [stderr] Compiling regex-automata v0.1.10 [INFO] [stderr] Compiling plotters-backend v0.3.2 [INFO] [stderr] Compiling unicode-width v0.1.9 [INFO] [stderr] Compiling regex-syntax v0.6.25 [INFO] [stderr] Compiling itoa v0.4.8 [INFO] [stderr] Compiling oorandom v11.1.3 [INFO] [stderr] Compiling itertools v0.10.3 [INFO] [stderr] Compiling csv-core v0.1.10 [INFO] [stderr] Compiling serde_cbor v0.11.2 [INFO] [stderr] Compiling tinytemplate v1.2.1 [INFO] [stderr] Compiling plotters-svg v0.3.1 [INFO] [stderr] Compiling textwrap v0.11.0 [INFO] [stderr] Compiling bstr v0.2.17 [INFO] [stderr] Compiling plotters v0.3.1 [INFO] [stderr] Compiling clap v2.34.0 [INFO] [stderr] Compiling csv v1.1.6 [INFO] [stderr] Compiling regex v1.5.5 [INFO] [stderr] Compiling rustc_version v0.4.0 [INFO] [stderr] Compiling ndarray-stats v0.5.0 [INFO] [stderr] Compiling cast v0.2.7 [INFO] [stderr] Compiling linfa-nn v0.5.1 [INFO] [stderr] Compiling linfa-linear v0.5.1 [INFO] [stderr] Compiling linfa-bayes v0.5.1 [INFO] [stderr] Compiling linfa-logistic v0.5.1 [INFO] [stderr] Compiling linfa-kernel v0.5.1 [INFO] [stderr] Compiling linfa-clustering v0.5.1 [INFO] [stderr] Compiling criterion-plot v0.4.4 [INFO] [stderr] Compiling linfa-reduction v0.5.1 [INFO] [stderr] Compiling linfa-svm v0.5.1 [INFO] [stderr] Compiling criterion v0.3.5 [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 14.67s [INFO] running `Command { std: "docker" "inspect" "a4448ca4c589a787c5a51601a0ebbf64867115e91bca03fb358eda1b2963f255", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "a4448ca4c589a787c5a51601a0ebbf64867115e91bca03fb358eda1b2963f255", kill_on_drop: false }` [INFO] [stdout] a4448ca4c589a787c5a51601a0ebbf64867115e91bca03fb358eda1b2963f255 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-37/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-37/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=warn" "-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:b0c94ce3c1162fcb8e57cac5b65ec2f72eabb1eebea4fcc35e269e823f681646" "/opt/rustwide/cargo-home/bin/cargo" "+1.60.0" "test" "--frozen", kill_on_drop: false }` [INFO] [stdout] 5fa641abb482bf668a840b432263d9e89ed655bd30f0f25569d64253d1d1e127 [INFO] running `Command { std: "docker" "start" "-a" "5fa641abb482bf668a840b432263d9e89ed655bd30f0f25569d64253d1d1e127", kill_on_drop: false }` [INFO] [stderr] warning: unused import: `FittedLogisticRegression` [INFO] [stderr] --> src/classification.rs:3:22 [INFO] [stderr] | [INFO] [stderr] 3 | use linfa_logistic::{FittedLogisticRegression, LogisticRegression as LinfaLogisticRegression}; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused import: `DecisionTree` [INFO] [stderr] --> src/classification.rs:5:54 [INFO] [stderr] | [INFO] [stderr] 5 | use linfa_trees::{DecisionTree as LinfaDecisionTree, DecisionTree, SplitQuality}; [INFO] [stderr] | ^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `smartcore::linear::logistic_regression::LogisticRegression` [INFO] [stderr] --> src/classification.rs:7:5 [INFO] [stderr] | [INFO] [stderr] 7 | use smartcore::linear::logistic_regression::LogisticRegression; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `math::distance::euclidian::Euclidian` [INFO] [stderr] --> src/clustering.rs:11:5 [INFO] [stderr] | [INFO] [stderr] 11 | math::distance::euclidian::Euclidian, [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `ElasticNet` [INFO] [stderr] --> src/regression.rs:2:55 [INFO] [stderr] | [INFO] [stderr] 2 | use linfa_elasticnet::{ElasticNet as LinfaElasticNet, ElasticNet}; [INFO] [stderr] | ^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `FittedLinearRegression` [INFO] [stderr] --> src/regression.rs:3:20 [INFO] [stderr] | [INFO] [stderr] 3 | use linfa_linear::{FittedLinearRegression, LinearRegression as LinfaLinearRegression}; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/classification.rs:72:5 [INFO] [stderr] | [INFO] [stderr] 72 | SCLogisticRegression::fit(x, y, Default::default()); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_must_use)]` on by default [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/classification.rs:81:5 [INFO] [stderr] | [INFO] [stderr] 81 | / LinfaLogisticRegression::default() [INFO] [stderr] 82 | | .gradient_tolerance(1e-8) [INFO] [stderr] 83 | | .max_iterations(1000) [INFO] [stderr] 84 | | .fit(dataset); [INFO] [stderr] | |______________________^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/classification.rs:94:5 [INFO] [stderr] | [INFO] [stderr] 94 | / DecisionTreeClassifier::fit( [INFO] [stderr] 95 | | x, [INFO] [stderr] 96 | | y, [INFO] [stderr] 97 | | DecisionTreeClassifierParameters::default() [INFO] [stderr] ... | [INFO] [stderr] 101 | | .with_min_samples_split(1), [INFO] [stderr] 102 | | ); [INFO] [stderr] | |______^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/classification.rs:111:5 [INFO] [stderr] | [INFO] [stderr] 111 | / LinfaDecisionTree::params() [INFO] [stderr] 112 | | .split_quality(SplitQuality::Gini) [INFO] [stderr] 113 | | .max_depth(Some(100)) [INFO] [stderr] 114 | | .min_weight_split(1.0) [INFO] [stderr] 115 | | .min_weight_leaf(1.0) [INFO] [stderr] 116 | | .fit(dataset); [INFO] [stderr] | |______________________^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/classification.rs:126:5 [INFO] [stderr] | [INFO] [stderr] 126 | SCGaussianNB::fit(x, y, GaussianNBParameters::default()); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/classification.rs:135:5 [INFO] [stderr] | [INFO] [stderr] 135 | LinfaGaussianNb::params().fit(dataset); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/classification.rs:145:5 [INFO] [stderr] | [INFO] [stderr] 145 | SCSVC::fit(x, y, SVCParameters::default()); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/classification.rs:154:5 [INFO] [stderr] | [INFO] [stderr] 154 | LinfaSvm::<_, bool>::params().fit(dataset); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/clustering.rs:48:5 [INFO] [stderr] | [INFO] [stderr] 48 | / LinfaKMeans::params(5) [INFO] [stderr] 49 | | .max_n_iterations(10) [INFO] [stderr] 50 | | .n_runs(1) [INFO] [stderr] 51 | | .fit(dataset); [INFO] [stderr] | |______________________^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/clustering.rs:60:5 [INFO] [stderr] | [INFO] [stderr] 60 | SCKMeans::fit(x, KMeansParameters::default().with_k(5).with_max_iter(10)); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/clustering.rs:69:5 [INFO] [stderr] | [INFO] [stderr] 69 | LinfaDbscan::params(5).transform(dataset); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/clustering.rs:78:5 [INFO] [stderr] | [INFO] [stderr] 78 | / SCDBSCAN::fit( [INFO] [stderr] 79 | | x, [INFO] [stderr] 80 | | DBSCANParameters::default() [INFO] [stderr] 81 | | .with_min_samples(5) [INFO] [stderr] 82 | | .with_eps(1e-4), [INFO] [stderr] 83 | | ); [INFO] [stderr] | |______^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/regression.rs:60:5 [INFO] [stderr] | [INFO] [stderr] 60 | SCLinearRegression::fit(x, y, Default::default()); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/regression.rs:69:5 [INFO] [stderr] | [INFO] [stderr] 69 | LinfaLinearRegression::new().fit(dataset); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/regression.rs:79:5 [INFO] [stderr] | [INFO] [stderr] 79 | / SCElasticNet::fit( [INFO] [stderr] 80 | | x, [INFO] [stderr] 81 | | y, [INFO] [stderr] 82 | | ElasticNetParameters::default() [INFO] [stderr] ... | [INFO] [stderr] 86 | | .with_tol(1e-4), [INFO] [stderr] 87 | | ); [INFO] [stderr] | |______^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/regression.rs:96:5 [INFO] [stderr] | [INFO] [stderr] 96 | / LinfaElasticNet::params() [INFO] [stderr] 97 | | .penalty(0.5) [INFO] [stderr] 98 | | .l1_ratio(0.5) [INFO] [stderr] 99 | | .max_iterations(1000) [INFO] [stderr] 100 | | .tolerance(1e-4) [INFO] [stderr] 101 | | .fit(dataset); [INFO] [stderr] | |______________________^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/regression.rs:111:5 [INFO] [stderr] | [INFO] [stderr] 111 | SCSVR::fit(x, y, SVRParameters::default()); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/regression.rs:120:5 [INFO] [stderr] | [INFO] [stderr] 120 | LinfaSvm::<_, f64>::params().fit(dataset); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/dimensionality_reduction.rs:15:5 [INFO] [stderr] | [INFO] [stderr] 15 | LinfaPca::params(3).fit(dataset); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/dimensionality_reduction.rs:24:5 [INFO] [stderr] | [INFO] [stderr] 24 | SCPCA::fit(x, PCAParameters::default().with_n_components(3)); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: `smartcore_vs_linfa` (lib) generated 26 warnings [INFO] [stderr] warning: `smartcore_vs_linfa` (lib test) generated 26 warnings (26 duplicates) [INFO] [stderr] Finished test [unoptimized + debuginfo] target(s) in 0.25s [INFO] [stderr] Running unittests (/opt/rustwide/target/debug/deps/smartcore_vs_linfa-c836d634f97a7411) [INFO] [stdout] [INFO] [stderr] Doc-tests smartcore_vs_linfa [INFO] [stdout] running 0 tests [INFO] [stdout] [INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] running 20 tests [INFO] [stdout] test src/classification.rs - classification::smartcore_gnb_classifier (line 120) ... FAILED [INFO] [stdout] test src/clustering.rs - clustering::linfa_kmeans (line 43) ... FAILED [INFO] [stdout] test src/classification.rs - classification::linfa_svm_classifier (line 149) ... FAILED [INFO] [stdout] test src/regression.rs - regression::smartcore_linear_regression (line 54) ... FAILED [INFO] [stdout] test src/classification.rs - classification::smartcore_svm_classifier (line 139) ... FAILED [INFO] [stdout] test src/classification.rs - classification::smartcore_logistic_regression (line 66) ... FAILED [INFO] [stdout] test src/regression.rs - regression::linfa_elasticnet_regression (line 91) ... FAILED [INFO] [stdout] test src/classification.rs - classification::linfa_logistic_regression (line 76) ... FAILED [INFO] [stdout] test src/regression.rs - regression::linfa_svm_regression (line 115) ... FAILED [INFO] [stdout] test src/dimensionality_reduction.rs - dimensionality_reduction::smartcore_pca (line 19) ... FAILED [INFO] [stdout] test src/regression.rs - regression::smartcore_elasticnet_regression (line 73) ... FAILED [INFO] [stdout] test src/regression.rs - regression::linfa_linear_regression (line 64) ... FAILED [INFO] [stdout] test src/classification.rs - classification::smartcore_decision_tree_classifier (line 88) ... FAILED [INFO] [stdout] test src/dimensionality_reduction.rs - dimensionality_reduction::linfa_pca (line 10) ... FAILED [INFO] [stdout] test src/regression.rs - regression::smartcore_svm_regression (line 105) ... FAILED [INFO] [stdout] test src/clustering.rs - clustering::smartcore_kmeans (line 55) ... FAILED [INFO] [stdout] test src/clustering.rs - clustering::linfa_dbscan (line 64) ... FAILED [INFO] [stdout] test src/classification.rs - classification::linfa_decision_tree_classifier (line 106) ... FAILED [INFO] [stdout] test src/clustering.rs - clustering::smartcore_dbscan (line 73) ... FAILED [INFO] [stdout] test src/classification.rs - classification::linfa_gnb_classifier (line 130) ... FAILED [INFO] [stdout] [INFO] [stdout] failures: [INFO] [stdout] [INFO] [stdout] ---- src/classification.rs - classification::smartcore_gnb_classifier (line 120) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/clustering.rs - clustering::linfa_kmeans (line 43) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/classification.rs - classification::linfa_svm_classifier (line 149) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/regression.rs - regression::smartcore_linear_regression (line 54) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/classification.rs - classification::smartcore_svm_classifier (line 139) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/classification.rs - classification::smartcore_logistic_regression (line 66) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/regression.rs - regression::linfa_elasticnet_regression (line 91) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/classification.rs - classification::linfa_logistic_regression (line 76) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/regression.rs - regression::linfa_svm_regression (line 115) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/dimensionality_reduction.rs - dimensionality_reduction::smartcore_pca (line 19) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/regression.rs - regression::smartcore_elasticnet_regression (line 73) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/regression.rs - regression::linfa_linear_regression (line 64) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/classification.rs - classification::smartcore_decision_tree_classifier (line 88) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/dimensionality_reduction.rs - dimensionality_reduction::linfa_pca (line 10) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/regression.rs - regression::smartcore_svm_regression (line 105) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/clustering.rs - clustering::smartcore_kmeans (line 55) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/clustering.rs - clustering::linfa_dbscan (line 64) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/classification.rs - classification::linfa_decision_tree_classifier (line 106) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/clustering.rs - clustering::smartcore_dbscan (line 73) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/classification.rs - classification::linfa_gnb_classifier (line 130) stdout ---- [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] [INFO] [stdout] failures: [INFO] [stdout] src/classification.rs - classification::linfa_decision_tree_classifier (line 106) [INFO] [stdout] src/classification.rs - classification::linfa_gnb_classifier (line 130) [INFO] [stdout] src/classification.rs - classification::linfa_logistic_regression (line 76) [INFO] [stdout] src/classification.rs - classification::linfa_svm_classifier (line 149) [INFO] [stdout] src/classification.rs - classification::smartcore_decision_tree_classifier (line 88) [INFO] [stdout] src/classification.rs - classification::smartcore_gnb_classifier (line 120) [INFO] [stdout] src/classification.rs - classification::smartcore_logistic_regression (line 66) [INFO] [stdout] src/classification.rs - classification::smartcore_svm_classifier (line 139) [INFO] [stdout] src/clustering.rs - clustering::linfa_dbscan (line 64) [INFO] [stdout] src/clustering.rs - clustering::linfa_kmeans (line 43) [INFO] [stdout] src/clustering.rs - clustering::smartcore_dbscan (line 73) [INFO] [stdout] src/clustering.rs - clustering::smartcore_kmeans (line 55) [INFO] [stdout] src/dimensionality_reduction.rs - dimensionality_reduction::linfa_pca (line 10) [INFO] [stdout] src/dimensionality_reduction.rs - dimensionality_reduction::smartcore_pca (line 19) [INFO] [stdout] src/regression.rs - regression::linfa_elasticnet_regression (line 91) [INFO] [stdout] src/regression.rs - regression::linfa_linear_regression (line 64) [INFO] [stdout] src/regression.rs - regression::linfa_svm_regression (line 115) [INFO] [stdout] src/regression.rs - regression::smartcore_elasticnet_regression (line 73) [INFO] [stdout] src/regression.rs - regression::smartcore_linear_regression (line 54) [INFO] [stdout] src/regression.rs - regression::smartcore_svm_regression (line 105) [INFO] [stdout] [INFO] [stdout] test result: FAILED. 0 passed; 20 failed; 0 ignored; 0 measured; 0 filtered out; finished in 1.87s [INFO] [stdout] [INFO] [stderr] error: test failed, to rerun pass '--doc' [INFO] running `Command { std: "docker" "inspect" "5fa641abb482bf668a840b432263d9e89ed655bd30f0f25569d64253d1d1e127", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "5fa641abb482bf668a840b432263d9e89ed655bd30f0f25569d64253d1d1e127", kill_on_drop: false }` [INFO] [stdout] 5fa641abb482bf668a840b432263d9e89ed655bd30f0f25569d64253d1d1e127