[INFO] fetching crate rusty-machine 0.5.4... [INFO] testing rusty-machine-0.5.4 against try#b83b707f97d809763b7861afa7638871f3339a33 for pr-145838-1 [INFO] extracting crate rusty-machine 0.5.4 into /workspace/builds/worker-3-tc2/source [INFO] started tweaking crates.io crate rusty-machine 0.5.4 [INFO] finished tweaking crates.io crate rusty-machine 0.5.4 [INFO] tweaked toml for crates.io crate rusty-machine 0.5.4 written to /workspace/builds/worker-3-tc2/source/Cargo.toml [INFO] validating manifest of crates.io crate rusty-machine 0.5.4 on toolchain b83b707f97d809763b7861afa7638871f3339a33 [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "generate-lockfile" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Updating crates.io index [INFO] [stderr] Locking 18 packages to latest compatible versions [INFO] [stderr] Adding num v0.1.43 (available: v0.4.3) [INFO] [stderr] Adding rand v0.3.23 (available: v0.9.2) [INFO] [stderr] Adding rulinalg v0.3.7 (available: v0.4.2) [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] warning: no edition set: defaulting to the 2015 edition while the latest is 2024 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/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@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 937bfedd42e1d748d2f02e224857201574a8c1fda48068ba0e92e8e3b9a3d47b [INFO] running `Command { std: "docker" "start" "-a" "937bfedd42e1d748d2f02e224857201574a8c1fda48068ba0e92e8e3b9a3d47b", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "937bfedd42e1d748d2f02e224857201574a8c1fda48068ba0e92e8e3b9a3d47b", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "937bfedd42e1d748d2f02e224857201574a8c1fda48068ba0e92e8e3b9a3d47b", kill_on_drop: false }` [INFO] [stdout] 937bfedd42e1d748d2f02e224857201574a8c1fda48068ba0e92e8e3b9a3d47b [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 4844369c34ae46582d145b3aea9c09b84ae5ff4efbc1f95da69f616eed41ca0b [INFO] running `Command { std: "docker" "start" "-a" "4844369c34ae46582d145b3aea9c09b84ae5ff4efbc1f95da69f616eed41ca0b", kill_on_drop: false }` [INFO] [stderr] warning: no edition set: defaulting to the 2015 edition while the latest is 2024 [INFO] [stderr] Compiling num-traits v0.2.19 [INFO] [stderr] Compiling matrixmultiply v0.1.15 [INFO] [stderr] Compiling rawpointer v0.1.0 [INFO] [stderr] Compiling rand v0.4.6 [INFO] [stderr] Compiling rand v0.3.23 [INFO] [stderr] Compiling num-integer v0.1.46 [INFO] [stderr] Compiling num-iter v0.1.45 [INFO] [stderr] Compiling num v0.1.43 [INFO] [stderr] Compiling rulinalg v0.3.7 [INFO] [stderr] Compiling rusty-machine v0.5.4 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused `#[macro_use]` import [INFO] [stdout] --> src/lib.rs:108:1 [INFO] [stdout] | [INFO] [stdout] 108 | #[macro_use] [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/minmax.rs:115:22 [INFO] [stdout] | [INFO] [stdout] 115 | let scales = try!(input_min_max.iter() [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(deprecated)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/minmax.rs:140:13 [INFO] [stdout] | [INFO] [stdout] 140 | try!(self.fit(&inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/standardize.rs:97:28 [INFO] [stdout] | [INFO] [stdout] 97 | let variance = try!(inputs.variance(Axes::Row).map_err(|_| { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/standardize.rs:113:13 [INFO] [stdout] | [INFO] [stdout] 113 | try!(self.fit(&inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:82:27 [INFO] [stdout] | [INFO] [stdout] 82 | let cov_mat = try!(self.initialize_covariances(inputs, reg_value)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:93:40 [INFO] [stdout] | [INFO] [stdout] 93 | let (weights, log_lik_1) = try!(self.membership_weights(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:110:16 [INFO] [stdout] | [INFO] [stdout] 110 | Ok(try!(self.membership_weights(inputs)).0) [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:229:32 [INFO] [stdout] | [INFO] [stdout] 229 | let variance = try!(inputs.variance(Axes::Row)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:265:33 [INFO] [stdout] | [INFO] [stdout] 265 | let covar_inv = try!(cov.inverse().map_err(Error::from)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/k_means.rs:93:9 [INFO] [stdout] | [INFO] [stdout] 93 | try!(self.init_centroids(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/k_means.rs:98:36 [INFO] [stdout] | [INFO] [stdout] 98 | let (idx, distances) = try!(self.get_closest_centroids(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/k_means.rs:194:29 [INFO] [stdout] | [INFO] [stdout] 194 | let centroids = try!(self.init_algorithm.init_centroids(self.k, inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:151:29 [INFO] [stdout] | [INFO] [stdout] 151 | let post_mean = try!(self.ker_mat(inputs, t_data)) * alpha; [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:164:25 [INFO] [stdout] | [INFO] [stdout] 164 | let train_mat = try!((ker_mat + noise_mat).cholesky().map_err(|_| { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:194:36 [INFO] [stdout] | [INFO] [stdout] 194 | let post_mean = mean + try!(self.ker_mat(inputs, t_data)) * alpha; [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:196:28 [INFO] [stdout] | [INFO] [stdout] 196 | let test_mat = try!(self.ker_mat(inputs, t_data)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:205:28 [INFO] [stdout] | [INFO] [stdout] 205 | let post_var = try!(self.ker_mat(inputs, inputs)) - &v_mat * v_mat.transpose(); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/svm.rs:133:27 [INFO] [stdout] | [INFO] [stdout] 133 | let ker_mat = try!(self.ker_mat(&full_inputs, train_inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:116:25 [INFO] [stdout] | [INFO] [stdout] 116 | let log_probs = try!(self.get_log_probs(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:157:25 [INFO] [stdout] | [INFO] [stdout] 157 | let class = try!(NaiveBayes::::find_class(row)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:173:17 [INFO] [stdout] | [INFO] [stdout] 173 | try!(distr.update_params(&inputs.select_rows(&c), idx)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:268:19 [INFO] [stdout] | [INFO] [stdout] 268 | let var = try!(data.variance(Axes::Row).map_err(|_| { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around block return value [INFO] [stdout] --> src/learning/toolkit/kernel.rs:292:9 [INFO] [stdout] | [INFO] [stdout] 292 | (self.ampl * x.exp()) [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 292 - (self.ampl * x.exp()) [INFO] [stdout] 292 + self.ampl * x.exp() [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around block return value [INFO] [stdout] --> src/learning/toolkit/kernel.rs:354:9 [INFO] [stdout] | [INFO] [stdout] 354 | (self.ampl * x.exp()) [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 354 - (self.ampl * x.exp()) [INFO] [stdout] 354 + self.ampl * x.exp() [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/analysis/cross_validation.rs:70:17 [INFO] [stdout] | [INFO] [stdout] 70 | let _ = try!(model.train(&train_inputs, &train_targets)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/analysis/cross_validation.rs:71:23 [INFO] [stdout] | [INFO] [stdout] 71 | let outputs = try!(model.predict(&test_inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `std::error::Error::description`: use the Display impl or to_string() [INFO] [stdout] --> src/learning/error.rs:62:88 [INFO] [stdout] | [INFO] [stdout] 62 | Error::new(ErrorKind::LinearAlgebra, ::description(&e)) [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/learning/error.rs:15:16 [INFO] [stdout] | [INFO] [stdout] 15 | error: Box, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2015) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] = note: `#[warn(bare_trait_objects)]` (part of `#[warn(rust_2021_compatibility)]`) on by default [INFO] [stdout] help: if this is a dyn-compatible trait, use `dyn` [INFO] [stdout] | [INFO] [stdout] 15 | error: Box, [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/learning/error.rs:39:27 [INFO] [stdout] | [INFO] [stdout] 39 | where E: Into> [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2015) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: if this is a dyn-compatible trait, use `dyn` [INFO] [stdout] | [INFO] [stdout] 39 | where E: Into> [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `std::error::Error::description`: use the Display impl or to_string() [INFO] [stdout] --> src/learning/error.rs:68:20 [INFO] [stdout] | [INFO] [stdout] 68 | self.error.description() [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:109:33 [INFO] [stdout] | [INFO] [stdout] 109 | pub fn default(layer_sizes: &[usize]) -> NeuralNet { [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 109 | pub fn default(layer_sizes: &[usize]) -> NeuralNet<'_, BCECriterion, StochasticGD> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:164:28 [INFO] [stdout] | [INFO] [stdout] 164 | pub fn get_net_weights(&self, idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 164 | pub fn get_net_weights(&self, idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:182:29 [INFO] [stdout] | [INFO] [stdout] 182 | fn default(layer_sizes: &[usize]) -> BaseNeuralNet { [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 182 | fn default(layer_sizes: &[usize]) -> BaseNeuralNet<'_, BCECriterion> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:190:25 [INFO] [stdout] | [INFO] [stdout] 190 | fn new(layer_sizes: &[usize], criterion: T) -> BaseNeuralNet { [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 190 | fn new(layer_sizes: &[usize], criterion: T) -> BaseNeuralNet<'_, T> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:215:26 [INFO] [stdout] | [INFO] [stdout] 215 | fn get_layer_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ the lifetime is elided here ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 215 | fn get_layer_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:243:24 [INFO] [stdout] | [INFO] [stdout] 243 | fn get_net_weights(&self, idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 243 | fn get_net_weights(&self, idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:248:29 [INFO] [stdout] | [INFO] [stdout] 248 | fn get_non_bias_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ the lifetime is elided here ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 248 | fn get_non_bias_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 3.79s [INFO] running `Command { std: "docker" "inspect" "4844369c34ae46582d145b3aea9c09b84ae5ff4efbc1f95da69f616eed41ca0b", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "4844369c34ae46582d145b3aea9c09b84ae5ff4efbc1f95da69f616eed41ca0b", kill_on_drop: false }` [INFO] [stdout] 4844369c34ae46582d145b3aea9c09b84ae5ff4efbc1f95da69f616eed41ca0b [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 866198e90ac3637a88a1982718f38946651c31333e00d2af772e4967c9ccc223 [INFO] running `Command { std: "docker" "start" "-a" "866198e90ac3637a88a1982718f38946651c31333e00d2af772e4967c9ccc223", kill_on_drop: false }` [INFO] [stderr] warning: no edition set: defaulting to the 2015 edition while the latest is 2024 [INFO] [stdout] warning: unused `#[macro_use]` import [INFO] [stdout] --> src/lib.rs:108:1 [INFO] [stdout] | [INFO] [stdout] 108 | #[macro_use] [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/minmax.rs:115:22 [INFO] [stdout] | [INFO] [stdout] 115 | let scales = try!(input_min_max.iter() [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(deprecated)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/minmax.rs:140:13 [INFO] [stdout] | [INFO] [stdout] 140 | try!(self.fit(&inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/standardize.rs:97:28 [INFO] [stdout] | [INFO] [stdout] 97 | let variance = try!(inputs.variance(Axes::Row).map_err(|_| { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/standardize.rs:113:13 [INFO] [stdout] | [INFO] [stdout] 113 | try!(self.fit(&inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:82:27 [INFO] [stdout] | [INFO] [stdout] 82 | let cov_mat = try!(self.initialize_covariances(inputs, reg_value)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:93:40 [INFO] [stdout] | [INFO] [stdout] 93 | let (weights, log_lik_1) = try!(self.membership_weights(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:110:16 [INFO] [stdout] | [INFO] [stdout] 110 | Ok(try!(self.membership_weights(inputs)).0) [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:229:32 [INFO] [stdout] | [INFO] [stdout] 229 | let variance = try!(inputs.variance(Axes::Row)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:265:33 [INFO] [stdout] | [INFO] [stdout] 265 | let covar_inv = try!(cov.inverse().map_err(Error::from)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/k_means.rs:93:9 [INFO] [stdout] | [INFO] [stdout] 93 | try!(self.init_centroids(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/k_means.rs:98:36 [INFO] [stdout] | [INFO] [stdout] 98 | let (idx, distances) = try!(self.get_closest_centroids(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/k_means.rs:194:29 [INFO] [stdout] | [INFO] [stdout] 194 | let centroids = try!(self.init_algorithm.init_centroids(self.k, inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:151:29 [INFO] [stdout] | [INFO] [stdout] 151 | let post_mean = try!(self.ker_mat(inputs, t_data)) * alpha; [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:164:25 [INFO] [stdout] | [INFO] [stdout] 164 | let train_mat = try!((ker_mat + noise_mat).cholesky().map_err(|_| { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:194:36 [INFO] [stdout] | [INFO] [stdout] 194 | let post_mean = mean + try!(self.ker_mat(inputs, t_data)) * alpha; [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:196:28 [INFO] [stdout] | [INFO] [stdout] 196 | let test_mat = try!(self.ker_mat(inputs, t_data)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:205:28 [INFO] [stdout] | [INFO] [stdout] 205 | let post_var = try!(self.ker_mat(inputs, inputs)) - &v_mat * v_mat.transpose(); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/svm.rs:133:27 [INFO] [stdout] | [INFO] [stdout] 133 | let ker_mat = try!(self.ker_mat(&full_inputs, train_inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:116:25 [INFO] [stdout] | [INFO] [stdout] 116 | let log_probs = try!(self.get_log_probs(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:157:25 [INFO] [stdout] | [INFO] [stdout] 157 | let class = try!(NaiveBayes::::find_class(row)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:173:17 [INFO] [stdout] | [INFO] [stdout] 173 | try!(distr.update_params(&inputs.select_rows(&c), idx)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:268:19 [INFO] [stdout] | [INFO] [stdout] 268 | let var = try!(data.variance(Axes::Row).map_err(|_| { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around block return value [INFO] [stdout] --> src/learning/toolkit/kernel.rs:292:9 [INFO] [stdout] | [INFO] [stdout] 292 | (self.ampl * x.exp()) [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 292 - (self.ampl * x.exp()) [INFO] [stdout] 292 + self.ampl * x.exp() [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around block return value [INFO] [stdout] --> src/learning/toolkit/kernel.rs:354:9 [INFO] [stdout] | [INFO] [stdout] 354 | (self.ampl * x.exp()) [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 354 - (self.ampl * x.exp()) [INFO] [stdout] 354 + self.ampl * x.exp() [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/analysis/cross_validation.rs:70:17 [INFO] [stdout] | [INFO] [stdout] 70 | let _ = try!(model.train(&train_inputs, &train_targets)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/analysis/cross_validation.rs:71:23 [INFO] [stdout] | [INFO] [stdout] 71 | let outputs = try!(model.predict(&test_inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `std::error::Error::description`: use the Display impl or to_string() [INFO] [stdout] --> src/learning/error.rs:62:88 [INFO] [stdout] | [INFO] [stdout] 62 | Error::new(ErrorKind::LinearAlgebra, ::description(&e)) [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Compiling rusty-machine v0.5.4 (/opt/rustwide/workdir) [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/learning/error.rs:15:16 [INFO] [stdout] | [INFO] [stdout] 15 | error: Box, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2015) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] = note: `#[warn(bare_trait_objects)]` (part of `#[warn(rust_2021_compatibility)]`) on by default [INFO] [stdout] help: if this is a dyn-compatible trait, use `dyn` [INFO] [stdout] | [INFO] [stdout] 15 | error: Box, [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/learning/error.rs:39:27 [INFO] [stdout] | [INFO] [stdout] 39 | where E: Into> [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2015) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: if this is a dyn-compatible trait, use `dyn` [INFO] [stdout] | [INFO] [stdout] 39 | where E: Into> [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `std::error::Error::description`: use the Display impl or to_string() [INFO] [stdout] --> src/learning/error.rs:68:20 [INFO] [stdout] | [INFO] [stdout] 68 | self.error.description() [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:109:33 [INFO] [stdout] | [INFO] [stdout] 109 | pub fn default(layer_sizes: &[usize]) -> NeuralNet { [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 109 | pub fn default(layer_sizes: &[usize]) -> NeuralNet<'_, BCECriterion, StochasticGD> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:164:28 [INFO] [stdout] | [INFO] [stdout] 164 | pub fn get_net_weights(&self, idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 164 | pub fn get_net_weights(&self, idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:182:29 [INFO] [stdout] | [INFO] [stdout] 182 | fn default(layer_sizes: &[usize]) -> BaseNeuralNet { [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 182 | fn default(layer_sizes: &[usize]) -> BaseNeuralNet<'_, BCECriterion> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:190:25 [INFO] [stdout] | [INFO] [stdout] 190 | fn new(layer_sizes: &[usize], criterion: T) -> BaseNeuralNet { [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 190 | fn new(layer_sizes: &[usize], criterion: T) -> BaseNeuralNet<'_, T> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:215:26 [INFO] [stdout] | [INFO] [stdout] 215 | fn get_layer_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ the lifetime is elided here ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 215 | fn get_layer_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:243:24 [INFO] [stdout] | [INFO] [stdout] 243 | fn get_net_weights(&self, idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 243 | fn get_net_weights(&self, idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:248:29 [INFO] [stdout] | [INFO] [stdout] 248 | fn get_non_bias_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ the lifetime is elided here ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 248 | fn get_non_bias_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `#[macro_use]` import [INFO] [stdout] --> tests/lib.rs:1:1 [INFO] [stdout] | [INFO] [stdout] 1 | #[macro_use] [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/minmax.rs:115:22 [INFO] [stdout] | [INFO] [stdout] 115 | let scales = try!(input_min_max.iter() [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(deprecated)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/minmax.rs:140:13 [INFO] [stdout] | [INFO] [stdout] 140 | try!(self.fit(&inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/standardize.rs:97:28 [INFO] [stdout] | [INFO] [stdout] 97 | let variance = try!(inputs.variance(Axes::Row).map_err(|_| { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/data/transforms/standardize.rs:113:13 [INFO] [stdout] | [INFO] [stdout] 113 | try!(self.fit(&inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:82:27 [INFO] [stdout] | [INFO] [stdout] 82 | let cov_mat = try!(self.initialize_covariances(inputs, reg_value)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:93:40 [INFO] [stdout] | [INFO] [stdout] 93 | let (weights, log_lik_1) = try!(self.membership_weights(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:110:16 [INFO] [stdout] | [INFO] [stdout] 110 | Ok(try!(self.membership_weights(inputs)).0) [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:229:32 [INFO] [stdout] | [INFO] [stdout] 229 | let variance = try!(inputs.variance(Axes::Row)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gmm.rs:265:33 [INFO] [stdout] | [INFO] [stdout] 265 | let covar_inv = try!(cov.inverse().map_err(Error::from)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/k_means.rs:93:9 [INFO] [stdout] | [INFO] [stdout] 93 | try!(self.init_centroids(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/k_means.rs:98:36 [INFO] [stdout] | [INFO] [stdout] 98 | let (idx, distances) = try!(self.get_closest_centroids(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/k_means.rs:194:29 [INFO] [stdout] | [INFO] [stdout] 194 | let centroids = try!(self.init_algorithm.init_centroids(self.k, inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:151:29 [INFO] [stdout] | [INFO] [stdout] 151 | let post_mean = try!(self.ker_mat(inputs, t_data)) * alpha; [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:164:25 [INFO] [stdout] | [INFO] [stdout] 164 | let train_mat = try!((ker_mat + noise_mat).cholesky().map_err(|_| { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:194:36 [INFO] [stdout] | [INFO] [stdout] 194 | let post_mean = mean + try!(self.ker_mat(inputs, t_data)) * alpha; [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:196:28 [INFO] [stdout] | [INFO] [stdout] 196 | let test_mat = try!(self.ker_mat(inputs, t_data)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/gp.rs:205:28 [INFO] [stdout] | [INFO] [stdout] 205 | let post_var = try!(self.ker_mat(inputs, inputs)) - &v_mat * v_mat.transpose(); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/svm.rs:133:27 [INFO] [stdout] | [INFO] [stdout] 133 | let ker_mat = try!(self.ker_mat(&full_inputs, train_inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:116:25 [INFO] [stdout] | [INFO] [stdout] 116 | let log_probs = try!(self.get_log_probs(inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:157:25 [INFO] [stdout] | [INFO] [stdout] 157 | let class = try!(NaiveBayes::::find_class(row)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:173:17 [INFO] [stdout] | [INFO] [stdout] 173 | try!(distr.update_params(&inputs.select_rows(&c), idx)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/learning/naive_bayes.rs:268:19 [INFO] [stdout] | [INFO] [stdout] 268 | let var = try!(data.variance(Axes::Row).map_err(|_| { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around block return value [INFO] [stdout] --> src/learning/toolkit/kernel.rs:292:9 [INFO] [stdout] | [INFO] [stdout] 292 | (self.ampl * x.exp()) [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 292 - (self.ampl * x.exp()) [INFO] [stdout] 292 + self.ampl * x.exp() [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around block return value [INFO] [stdout] --> src/learning/toolkit/kernel.rs:354:9 [INFO] [stdout] | [INFO] [stdout] 354 | (self.ampl * x.exp()) [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 354 - (self.ampl * x.exp()) [INFO] [stdout] 354 + self.ampl * x.exp() [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/analysis/cross_validation.rs:70:17 [INFO] [stdout] | [INFO] [stdout] 70 | let _ = try!(model.train(&train_inputs, &train_targets)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stdout] --> src/analysis/cross_validation.rs:71:23 [INFO] [stdout] | [INFO] [stdout] 71 | let outputs = try!(model.predict(&test_inputs)); [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `std::error::Error::description`: use the Display impl or to_string() [INFO] [stdout] --> src/learning/error.rs:62:88 [INFO] [stdout] | [INFO] [stdout] 62 | Error::new(ErrorKind::LinearAlgebra, ::description(&e)) [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/learning/error.rs:15:16 [INFO] [stdout] | [INFO] [stdout] 15 | error: Box, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2015) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] = note: `#[warn(bare_trait_objects)]` (part of `#[warn(rust_2021_compatibility)]`) on by default [INFO] [stdout] help: if this is a dyn-compatible trait, use `dyn` [INFO] [stdout] | [INFO] [stdout] 15 | error: Box, [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/learning/error.rs:39:27 [INFO] [stdout] | [INFO] [stdout] 39 | where E: Into> [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2015) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: if this is a dyn-compatible trait, use `dyn` [INFO] [stdout] | [INFO] [stdout] 39 | where E: Into> [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: use of deprecated method `std::error::Error::description`: use the Display impl or to_string() [INFO] [stdout] --> src/learning/error.rs:68:20 [INFO] [stdout] | [INFO] [stdout] 68 | self.error.description() [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused comparison that must be used [INFO] [stdout] --> src/data/transforms/minmax.rs:228:9 [INFO] [stdout] | [INFO] [stdout] 228 | transformed[[0, 0]].abs() < 1e-10; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 228 | let _ = transformed[[0, 0]].abs() < 1e-10; [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused comparison that must be used [INFO] [stdout] --> src/data/transforms/minmax.rs:229:9 [INFO] [stdout] | [INFO] [stdout] 229 | transformed[[0, 1]].abs() < 1e-10; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stdout] | [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 229 | let _ = transformed[[0, 1]].abs() < 1e-10; [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused comparison that must be used [INFO] [stdout] --> src/data/transforms/minmax.rs:230:9 [INFO] [stdout] | [INFO] [stdout] 230 | (transformed[[1, 0]] - 1.0).abs() < 1e-10; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stdout] | [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 230 | let _ = (transformed[[1, 0]] - 1.0).abs() < 1e-10; [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused comparison that must be used [INFO] [stdout] --> src/data/transforms/minmax.rs:231:9 [INFO] [stdout] | [INFO] [stdout] 231 | (transformed[[1, 1]] - 1.0).abs() < 1e-10; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stdout] | [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 231 | let _ = (transformed[[1, 1]] - 1.0).abs() < 1e-10; [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused comparison that must be used [INFO] [stdout] --> src/data/transforms/minmax.rs:245:9 [INFO] [stdout] | [INFO] [stdout] 245 | (transformed[[0, 0]] - 1.0).abs() < 1e-10; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stdout] | [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 245 | let _ = (transformed[[0, 0]] - 1.0).abs() < 1e-10; [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused comparison that must be used [INFO] [stdout] --> src/data/transforms/minmax.rs:246:9 [INFO] [stdout] | [INFO] [stdout] 246 | (transformed[[0, 1]] - 1.0).abs() < 1e-10; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stdout] | [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 246 | let _ = (transformed[[0, 1]] - 1.0).abs() < 1e-10; [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused comparison that must be used [INFO] [stdout] --> src/data/transforms/minmax.rs:247:9 [INFO] [stdout] | [INFO] [stdout] 247 | (transformed[[1, 0]] - 3.0).abs() < 1e-10; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stdout] | [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 247 | let _ = (transformed[[1, 0]] - 3.0).abs() < 1e-10; [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused comparison that must be used [INFO] [stdout] --> src/data/transforms/minmax.rs:248:9 [INFO] [stdout] | [INFO] [stdout] 248 | (transformed[[1, 1]] - 3.0).abs() < 1e-10; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stdout] | [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 248 | let _ = (transformed[[1, 1]] - 3.0).abs() < 1e-10; [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:109:33 [INFO] [stdout] | [INFO] [stdout] 109 | pub fn default(layer_sizes: &[usize]) -> NeuralNet { [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 109 | pub fn default(layer_sizes: &[usize]) -> NeuralNet<'_, BCECriterion, StochasticGD> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:164:28 [INFO] [stdout] | [INFO] [stdout] 164 | pub fn get_net_weights(&self, idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 164 | pub fn get_net_weights(&self, idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:182:29 [INFO] [stdout] | [INFO] [stdout] 182 | fn default(layer_sizes: &[usize]) -> BaseNeuralNet { [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 182 | fn default(layer_sizes: &[usize]) -> BaseNeuralNet<'_, BCECriterion> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:190:25 [INFO] [stdout] | [INFO] [stdout] 190 | fn new(layer_sizes: &[usize], criterion: T) -> BaseNeuralNet { [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 190 | fn new(layer_sizes: &[usize], criterion: T) -> BaseNeuralNet<'_, T> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:215:26 [INFO] [stdout] | [INFO] [stdout] 215 | fn get_layer_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ the lifetime is elided here ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 215 | fn get_layer_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:243:24 [INFO] [stdout] | [INFO] [stdout] 243 | fn get_net_weights(&self, idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | | [INFO] [stdout] | the lifetime is elided here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 243 | fn get_net_weights(&self, idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stdout] --> src/learning/nnet.rs:248:29 [INFO] [stdout] | [INFO] [stdout] 248 | fn get_non_bias_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice { [INFO] [stdout] | ^^^^^ the lifetime is elided here ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stdout] | [INFO] [stdout] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stdout] help: use `'_` for type paths [INFO] [stdout] | [INFO] [stdout] 248 | fn get_non_bias_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stdout] | +++ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 2.85s [INFO] running `Command { std: "docker" "inspect" "866198e90ac3637a88a1982718f38946651c31333e00d2af772e4967c9ccc223", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "866198e90ac3637a88a1982718f38946651c31333e00d2af772e4967c9ccc223", kill_on_drop: false }` [INFO] [stdout] 866198e90ac3637a88a1982718f38946651c31333e00d2af772e4967c9ccc223 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "test" "--frozen", kill_on_drop: false }` [INFO] [stdout] d18746b20cd8d06c360a6cfc52dd04b161a0a51cb397f8a1d1d16c5acb73759c [INFO] running `Command { std: "docker" "start" "-a" "d18746b20cd8d06c360a6cfc52dd04b161a0a51cb397f8a1d1d16c5acb73759c", kill_on_drop: false }` [INFO] [stderr] warning: no edition set: defaulting to the 2015 edition while the latest is 2024 [INFO] [stderr] warning: unused `#[macro_use]` import [INFO] [stderr] --> src/lib.rs:108:1 [INFO] [stderr] | [INFO] [stderr] 108 | #[macro_use] [INFO] [stderr] | ^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/data/transforms/minmax.rs:115:22 [INFO] [stderr] | [INFO] [stderr] 115 | let scales = try!(input_min_max.iter() [INFO] [stderr] | ^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(deprecated)]` on by default [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/data/transforms/minmax.rs:140:13 [INFO] [stderr] | [INFO] [stderr] 140 | try!(self.fit(&inputs)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/data/transforms/standardize.rs:97:28 [INFO] [stderr] | [INFO] [stderr] 97 | let variance = try!(inputs.variance(Axes::Row).map_err(|_| { [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/data/transforms/standardize.rs:113:13 [INFO] [stderr] | [INFO] [stderr] 113 | try!(self.fit(&inputs)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gmm.rs:82:27 [INFO] [stderr] | [INFO] [stderr] 82 | let cov_mat = try!(self.initialize_covariances(inputs, reg_value)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gmm.rs:93:40 [INFO] [stderr] | [INFO] [stderr] 93 | let (weights, log_lik_1) = try!(self.membership_weights(inputs)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gmm.rs:110:16 [INFO] [stderr] | [INFO] [stderr] 110 | Ok(try!(self.membership_weights(inputs)).0) [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gmm.rs:229:32 [INFO] [stderr] | [INFO] [stderr] 229 | let variance = try!(inputs.variance(Axes::Row)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gmm.rs:265:33 [INFO] [stderr] | [INFO] [stderr] 265 | let covar_inv = try!(cov.inverse().map_err(Error::from)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/k_means.rs:93:9 [INFO] [stderr] | [INFO] [stderr] 93 | try!(self.init_centroids(inputs)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/k_means.rs:98:36 [INFO] [stderr] | [INFO] [stderr] 98 | let (idx, distances) = try!(self.get_closest_centroids(inputs)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/k_means.rs:194:29 [INFO] [stderr] | [INFO] [stderr] 194 | let centroids = try!(self.init_algorithm.init_centroids(self.k, inputs)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gp.rs:151:29 [INFO] [stderr] | [INFO] [stderr] 151 | let post_mean = try!(self.ker_mat(inputs, t_data)) * alpha; [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gp.rs:164:25 [INFO] [stderr] | [INFO] [stderr] 164 | let train_mat = try!((ker_mat + noise_mat).cholesky().map_err(|_| { [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gp.rs:194:36 [INFO] [stderr] | [INFO] [stderr] 194 | let post_mean = mean + try!(self.ker_mat(inputs, t_data)) * alpha; [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gp.rs:196:28 [INFO] [stderr] | [INFO] [stderr] 196 | let test_mat = try!(self.ker_mat(inputs, t_data)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/gp.rs:205:28 [INFO] [stderr] | [INFO] [stderr] 205 | let post_var = try!(self.ker_mat(inputs, inputs)) - &v_mat * v_mat.transpose(); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/svm.rs:133:27 [INFO] [stderr] | [INFO] [stderr] 133 | let ker_mat = try!(self.ker_mat(&full_inputs, train_inputs)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/naive_bayes.rs:116:25 [INFO] [stderr] | [INFO] [stderr] 116 | let log_probs = try!(self.get_log_probs(inputs)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/naive_bayes.rs:157:25 [INFO] [stderr] | [INFO] [stderr] 157 | let class = try!(NaiveBayes::::find_class(row)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/naive_bayes.rs:173:17 [INFO] [stderr] | [INFO] [stderr] 173 | try!(distr.update_params(&inputs.select_rows(&c), idx)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/learning/naive_bayes.rs:268:19 [INFO] [stderr] | [INFO] [stderr] 268 | let var = try!(data.variance(Axes::Row).map_err(|_| { [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: unnecessary parentheses around block return value [INFO] [stderr] --> src/learning/toolkit/kernel.rs:292:9 [INFO] [stderr] | [INFO] [stderr] 292 | (self.ampl * x.exp()) [INFO] [stderr] | ^ ^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default [INFO] [stderr] help: remove these parentheses [INFO] [stderr] | [INFO] [stderr] 292 - (self.ampl * x.exp()) [INFO] [stderr] 292 + self.ampl * x.exp() [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: unnecessary parentheses around block return value [INFO] [stderr] --> src/learning/toolkit/kernel.rs:354:9 [INFO] [stderr] | [INFO] [stderr] 354 | (self.ampl * x.exp()) [INFO] [stderr] | ^ ^ [INFO] [stderr] | [INFO] [stderr] help: remove these parentheses [INFO] [stderr] | [INFO] [stderr] 354 - (self.ampl * x.exp()) [INFO] [stderr] 354 + self.ampl * x.exp() [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/analysis/cross_validation.rs:70:17 [INFO] [stderr] | [INFO] [stderr] 70 | let _ = try!(model.train(&train_inputs, &train_targets)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated macro `try`: use the `?` operator instead [INFO] [stderr] --> src/analysis/cross_validation.rs:71:23 [INFO] [stderr] | [INFO] [stderr] 71 | let outputs = try!(model.predict(&test_inputs)); [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated method `std::error::Error::description`: use the Display impl or to_string() [INFO] [stderr] --> src/learning/error.rs:62:88 [INFO] [stderr] | [INFO] [stderr] 62 | Error::new(ErrorKind::LinearAlgebra, ::description(&e)) [INFO] [stderr] | ^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/learning/error.rs:15:16 [INFO] [stderr] | [INFO] [stderr] 15 | error: Box, [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2015) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] = note: `#[warn(bare_trait_objects)]` (part of `#[warn(rust_2021_compatibility)]`) on by default [INFO] [stderr] help: if this is a dyn-compatible trait, use `dyn` [INFO] [stderr] | [INFO] [stderr] 15 | error: Box, [INFO] [stderr] | +++ [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/learning/error.rs:39:27 [INFO] [stderr] | [INFO] [stderr] 39 | where E: Into> [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2015) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: if this is a dyn-compatible trait, use `dyn` [INFO] [stderr] | [INFO] [stderr] 39 | where E: Into> [INFO] [stderr] | +++ [INFO] [stderr] [INFO] [stderr] warning: use of deprecated method `std::error::Error::description`: use the Display impl or to_string() [INFO] [stderr] --> src/learning/error.rs:68:20 [INFO] [stderr] | [INFO] [stderr] 68 | self.error.description() [INFO] [stderr] | ^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stderr] --> src/learning/nnet.rs:109:33 [INFO] [stderr] | [INFO] [stderr] 109 | pub fn default(layer_sizes: &[usize]) -> NeuralNet { [INFO] [stderr] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stderr] | | [INFO] [stderr] | the lifetime is elided here [INFO] [stderr] | [INFO] [stderr] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stderr] = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default [INFO] [stderr] help: use `'_` for type paths [INFO] [stderr] | [INFO] [stderr] 109 | pub fn default(layer_sizes: &[usize]) -> NeuralNet<'_, BCECriterion, StochasticGD> { [INFO] [stderr] | +++ [INFO] [stderr] [INFO] [stderr] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stderr] --> src/learning/nnet.rs:164:28 [INFO] [stderr] | [INFO] [stderr] 164 | pub fn get_net_weights(&self, idx: usize) -> MatrixSlice { [INFO] [stderr] | ^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stderr] | | [INFO] [stderr] | the lifetime is elided here [INFO] [stderr] | [INFO] [stderr] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stderr] help: use `'_` for type paths [INFO] [stderr] | [INFO] [stderr] 164 | pub fn get_net_weights(&self, idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stderr] | +++ [INFO] [stderr] [INFO] [stderr] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stderr] --> src/learning/nnet.rs:182:29 [INFO] [stderr] | [INFO] [stderr] 182 | fn default(layer_sizes: &[usize]) -> BaseNeuralNet { [INFO] [stderr] | ^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stderr] | | [INFO] [stderr] | the lifetime is elided here [INFO] [stderr] | [INFO] [stderr] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stderr] help: use `'_` for type paths [INFO] [stderr] | [INFO] [stderr] 182 | fn default(layer_sizes: &[usize]) -> BaseNeuralNet<'_, BCECriterion> { [INFO] [stderr] | +++ [INFO] [stderr] [INFO] [stderr] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stderr] --> src/learning/nnet.rs:190:25 [INFO] [stderr] | [INFO] [stderr] 190 | fn new(layer_sizes: &[usize], criterion: T) -> BaseNeuralNet { [INFO] [stderr] | ^^^^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stderr] | | [INFO] [stderr] | the lifetime is elided here [INFO] [stderr] | [INFO] [stderr] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stderr] help: use `'_` for type paths [INFO] [stderr] | [INFO] [stderr] 190 | fn new(layer_sizes: &[usize], criterion: T) -> BaseNeuralNet<'_, T> { [INFO] [stderr] | +++ [INFO] [stderr] [INFO] [stderr] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stderr] --> src/learning/nnet.rs:215:26 [INFO] [stderr] | [INFO] [stderr] 215 | fn get_layer_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice { [INFO] [stderr] | ^^^^^ the lifetime is elided here ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stderr] | [INFO] [stderr] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stderr] help: use `'_` for type paths [INFO] [stderr] | [INFO] [stderr] 215 | fn get_layer_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stderr] | +++ [INFO] [stderr] [INFO] [stderr] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stderr] --> src/learning/nnet.rs:243:24 [INFO] [stderr] | [INFO] [stderr] 243 | fn get_net_weights(&self, idx: usize) -> MatrixSlice { [INFO] [stderr] | ^^^^^ ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stderr] | | [INFO] [stderr] | the lifetime is elided here [INFO] [stderr] | [INFO] [stderr] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stderr] help: use `'_` for type paths [INFO] [stderr] | [INFO] [stderr] 243 | fn get_net_weights(&self, idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stderr] | +++ [INFO] [stderr] [INFO] [stderr] warning: hiding a lifetime that's elided elsewhere is confusing [INFO] [stderr] --> src/learning/nnet.rs:248:29 [INFO] [stderr] | [INFO] [stderr] 248 | fn get_non_bias_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice { [INFO] [stderr] | ^^^^^ the lifetime is elided here ^^^^^^^^^^^^^^^^ the same lifetime is hidden here [INFO] [stderr] | [INFO] [stderr] = help: the same lifetime is referred to in inconsistent ways, making the signature confusing [INFO] [stderr] help: use `'_` for type paths [INFO] [stderr] | [INFO] [stderr] 248 | fn get_non_bias_weights(&self, weights: &[f64], idx: usize) -> MatrixSlice<'_, f64> { [INFO] [stderr] | +++ [INFO] [stderr] [INFO] [stderr] warning: unused comparison that must be used [INFO] [stderr] --> src/data/transforms/minmax.rs:228:9 [INFO] [stderr] | [INFO] [stderr] 228 | transformed[[0, 0]].abs() < 1e-10; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default [INFO] [stderr] help: use `let _ = ...` to ignore the resulting value [INFO] [stderr] | [INFO] [stderr] 228 | let _ = transformed[[0, 0]].abs() < 1e-10; [INFO] [stderr] | +++++++ [INFO] [stderr] [INFO] [stderr] warning: unused comparison that must be used [INFO] [stderr] --> src/data/transforms/minmax.rs:229:9 [INFO] [stderr] | [INFO] [stderr] 229 | transformed[[0, 1]].abs() < 1e-10; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stderr] | [INFO] [stderr] help: use `let _ = ...` to ignore the resulting value [INFO] [stderr] | [INFO] [stderr] 229 | let _ = transformed[[0, 1]].abs() < 1e-10; [INFO] [stderr] | +++++++ [INFO] [stderr] [INFO] [stderr] warning: unused comparison that must be used [INFO] [stderr] --> src/data/transforms/minmax.rs:230:9 [INFO] [stderr] | [INFO] [stderr] 230 | (transformed[[1, 0]] - 1.0).abs() < 1e-10; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stderr] | [INFO] [stderr] help: use `let _ = ...` to ignore the resulting value [INFO] [stderr] | [INFO] [stderr] 230 | let _ = (transformed[[1, 0]] - 1.0).abs() < 1e-10; [INFO] [stderr] | +++++++ [INFO] [stderr] [INFO] [stderr] warning: unused comparison that must be used [INFO] [stderr] --> src/data/transforms/minmax.rs:231:9 [INFO] [stderr] | [INFO] [stderr] 231 | (transformed[[1, 1]] - 1.0).abs() < 1e-10; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stderr] | [INFO] [stderr] help: use `let _ = ...` to ignore the resulting value [INFO] [stderr] | [INFO] [stderr] 231 | let _ = (transformed[[1, 1]] - 1.0).abs() < 1e-10; [INFO] [stderr] | +++++++ [INFO] [stderr] [INFO] [stderr] warning: unused comparison that must be used [INFO] [stderr] --> src/data/transforms/minmax.rs:245:9 [INFO] [stderr] | [INFO] [stderr] 245 | (transformed[[0, 0]] - 1.0).abs() < 1e-10; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stderr] | [INFO] [stderr] help: use `let _ = ...` to ignore the resulting value [INFO] [stderr] | [INFO] [stderr] 245 | let _ = (transformed[[0, 0]] - 1.0).abs() < 1e-10; [INFO] [stderr] | +++++++ [INFO] [stderr] [INFO] [stderr] warning: unused comparison that must be used [INFO] [stderr] --> src/data/transforms/minmax.rs:246:9 [INFO] [stderr] | [INFO] [stderr] 246 | (transformed[[0, 1]] - 1.0).abs() < 1e-10; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stderr] | [INFO] [stderr] help: use `let _ = ...` to ignore the resulting value [INFO] [stderr] | [INFO] [stderr] 246 | let _ = (transformed[[0, 1]] - 1.0).abs() < 1e-10; [INFO] [stderr] | +++++++ [INFO] [stderr] [INFO] [stderr] warning: unused comparison that must be used [INFO] [stderr] --> src/data/transforms/minmax.rs:247:9 [INFO] [stderr] | [INFO] [stderr] 247 | (transformed[[1, 0]] - 3.0).abs() < 1e-10; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stderr] | [INFO] [stderr] help: use `let _ = ...` to ignore the resulting value [INFO] [stderr] | [INFO] [stderr] 247 | let _ = (transformed[[1, 0]] - 3.0).abs() < 1e-10; [INFO] [stderr] | +++++++ [INFO] [stderr] [INFO] [stderr] warning: unused comparison that must be used [INFO] [stderr] --> src/data/transforms/minmax.rs:248:9 [INFO] [stderr] | [INFO] [stderr] 248 | (transformed[[1, 1]] - 3.0).abs() < 1e-10; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the comparison produces a value [INFO] [stderr] | [INFO] [stderr] help: use `let _ = ...` to ignore the resulting value [INFO] [stderr] | [INFO] [stderr] 248 | let _ = (transformed[[1, 1]] - 3.0).abs() < 1e-10; [INFO] [stderr] | +++++++ [INFO] [stderr] [INFO] [stderr] warning: `rusty-machine` (lib) generated 38 warnings (run `cargo fix --lib -p rusty-machine` to apply 11 suggestions) [INFO] [stderr] warning: `rusty-machine` (lib test) generated 45 warnings (37 duplicates) [INFO] [stderr] warning: unused `#[macro_use]` import [INFO] [stderr] --> tests/lib.rs:1:1 [INFO] [stderr] | [INFO] [stderr] 1 | #[macro_use] [INFO] [stderr] | ^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stderr] [INFO] [stderr] warning: `rusty-machine` (test "lib") generated 1 warning [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 0.10s [INFO] [stderr] Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/rusty_machine-7a36342832a4a92a) [INFO] [stdout] [INFO] [stdout] running 65 tests [INFO] [stdout] test analysis::confusion_matrix::tests::confusion_matrix_accepts_labels_disjoint_from_predictions_and_targets ... ok [INFO] [stdout] test analysis::confusion_matrix::tests::confusion_matrix_accepts_labels_intersecting_targets_and_disjoint_from_predictions ... ok [INFO] [stdout] test analysis::confusion_matrix::tests::confusion_matrix_accepts_labels_intersecting_predictions_and_disjoint_from_targets ... ok [INFO] [stdout] test analysis::confusion_matrix::tests::confusion_matrix_no_labels ... ok [INFO] [stdout] test analysis::confusion_matrix::tests::confusion_matrix_with_labels_a_permutation_of_classes ... ok [INFO] [stdout] test analysis::cross_validation::tests::test_folds_n4_k4 ... ok [INFO] [stdout] test analysis::cross_validation::tests::test_folds_n6_k3 ... ok [INFO] [stdout] test analysis::cross_validation::tests::test_folds_n6_k4 ... ok [INFO] [stdout] test analysis::cross_validation::tests::test_folds_unordered_indices ... ok [INFO] [stdout] test analysis::score::tests::test_f1 ... ok [INFO] [stdout] test analysis::score::tests::test_accuracy ... ok [INFO] [stdout] test analysis::score::tests::test_neg_mean_squared_error_1d ... ok [INFO] [stdout] test analysis::score::tests::test_neg_mean_squared_error_2d ... ok [INFO] [stdout] test analysis::cross_validation::tests::test_folds_n5_k2 ... ok [INFO] [stdout] test data::transforms::minmax::tests::constant_feature_test ... ok [INFO] [stdout] test analysis::score::tests::test_recall ... ok [INFO] [stdout] test data::transforms::minmax::tests::infinity_data_test ... ok [INFO] [stdout] test data::transforms::minmax::tests::inv_transform_identity_test ... ok [INFO] [stdout] test data::transforms::minmax::tests::custom_scale_test ... ok [INFO] [stdout] test data::transforms::minmax::tests::basic_scale_test ... ok [INFO] [stdout] test data::transforms::minmax::tests::nan_data_test ... ok [INFO] [stdout] test data::transforms::shuffle::tests::seeded_shuffle ... ok [INFO] [stdout] test data::transforms::standardize::tests::basic_standardize_test ... ok [INFO] [stdout] test data::transforms::standardize::tests::custom_standardize_test ... ok [INFO] [stdout] test data::transforms::shuffle::tests::shuffle_single_row ... ok [INFO] [stdout] test data::transforms::standardize::tests::inf_data_test ... ok [INFO] [stdout] test data::transforms::shuffle::tests::shuffle_fit ... ok [INFO] [stdout] test analysis::score::tests::test_precision ... ok [INFO] [stdout] test data::transforms::standardize::tests::single_row_test ... ok [INFO] [stdout] test data::transforms::standardize::tests::inv_transform_identity_test ... ok [INFO] [stdout] test learning::dbscan::tests::test_region_query ... ok [INFO] [stdout] test learning::gmm::tests::test_covars_none ... ok [INFO] [stdout] test learning::gmm::tests::test_means_none ... ok [INFO] [stdout] test learning::gmm::tests::test_negative_mixtures ... ok [INFO] [stdout] test learning::naive_bayes::tests::test_gaussian ... ok [INFO] [stdout] test learning::gmm::tests::test_wrong_length_mixtures ... ok [INFO] [stdout] test data::transforms::standardize::tests::nan_data_test ... ok [INFO] [stdout] test learning::dbscan::tests::test_region_query_small_eps ... ok [INFO] [stdout] test learning::naive_bayes::tests::test_bernoulli ... ok [INFO] [stdout] test learning::naive_bayes::tests::test_multinomial ... ok [INFO] [stdout] test analysis::confusion_matrix::tests::confusion_matrix_rejects_mismatched_prediction_and_target_lengths - should panic ... ok [INFO] [stdout] test analysis::confusion_matrix::tests::confusion_matrix_rejects_duplicate_labels - should panic ... ok [INFO] [stdout] test learning::toolkit::rand_utils::tests::test_fisher_yates ... ok [INFO] [stdout] test learning::toolkit::rand_utils::tests::test_in_place_fisher_yates ... ok [INFO] [stdout] test learning::toolkit::rand_utils::tests::test_reservoir_sample ... ok [INFO] [stdout] test learning::toolkit::regularization::tests::test_elastic_net_reg ... ok [INFO] [stdout] test analysis::cross_validation::tests::test_folds_rejects_large_k - should panic ... ok [INFO] [stdout] test learning::toolkit::regularization::tests::test_l1_reg ... ok [INFO] [stdout] test learning::toolkit::regularization::tests::test_l2_reg ... ok [INFO] [stdout] test learning::toolkit::regularization::tests::test_no_reg ... ok [INFO] [stdout] test prelude::tests::create_mat_from_prelude ... ok [INFO] [stdout] test analysis::score::tests::test_f1_outputs_not_2class - should panic ... ok [INFO] [stdout] test analysis::score::tests::test_f1_targets_not_2class - should panic ... ok [INFO] [stdout] test analysis::score::tests::test_precision_outputs_not_2class - should panic ... ok [INFO] [stdout] test analysis::score::tests::test_recall_outputs_not_2class - should panic ... ok [INFO] [stdout] test analysis::score::tests::test_recall_targets_not_2class - should panic ... ok [INFO] [stdout] test analysis::score::tests::test_precision_targets_not_2class - should panic ... ok [INFO] [stdout] test learning::optim::grad_desc::tests::adagrad_neg_adaptive_scale - should panic ... ok [INFO] [stdout] test learning::optim::grad_desc::tests::adagrad_neg_stepsize - should panic ... ok [INFO] [stdout] test learning::optim::grad_desc::tests::gd_neg_stepsize - should panic ... ok [INFO] [stdout] test learning::optim::grad_desc::tests::rmsprop_neg_decay_rate - should panic ... ok [INFO] [stdout] test learning::optim::grad_desc::tests::rmsprop_neg_learning_rate - should panic ... ok [INFO] [stdout] test learning::optim::grad_desc::tests::stochastic_gd_neg_momentum - should panic ... ok [INFO] [stdout] test learning::optim::grad_desc::tests::rmsprop_neg_epsilon - should panic ... ok [INFO] [stdout] test learning::optim::grad_desc::tests::stochastic_gd_neg_stepsize - should panic ... ok [INFO] [stdout] [INFO] [stdout] test result: ok. 65 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.09s [INFO] [stdout] [INFO] [stderr] Running tests/datasets.rs (/opt/rustwide/target/debug/deps/datasets-41f55e932e0f62d1) [INFO] [stdout] [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] [stderr] Running tests/lib.rs (/opt/rustwide/target/debug/deps/lib-494ad91c2099bc55) [INFO] [stdout] [INFO] [stdout] running 19 tests [INFO] [stdout] test learning::dbscan::test_basic_prediction ... ok [INFO] [stdout] test learning::dbscan::test_basic_clusters ... ok [INFO] [stdout] test learning::k_means::test_model_forgy ... ok [INFO] [stdout] test learning::k_means::test_model_kplusplus ... ok [INFO] [stdout] test learning::k_means::test_model_ran_partition ... ok [INFO] [stdout] test learning::k_means::test_model_default ... ok [INFO] [stdout] test learning::k_means::test_two_centroids ... ok [INFO] [stdout] test learning::lin_reg::test_regression ... ok [INFO] [stdout] test learning::optim::grad_desc::convex_fmincg_training ... ok [INFO] [stdout] test learning::lin_reg::test_optimized_regression ... ok [INFO] [stdout] test learning::optim::grad_desc::convex_gd_training ... ok [INFO] [stdout] test learning::gp::test_default_gp ... ok [INFO] [stdout] test learning::k_means::test_model_iter ... ok [INFO] [stdout] test learning::optim::grad_desc::convex_rmsprop_training ... ok [INFO] [stdout] test learning::optim::grad_desc::convex_stochastic_gd_training ... ok [INFO] [stdout] test learning::optim::grad_desc::convex_adagrad_training ... ok [INFO] [stdout] test learning::lin_reg::test_no_train_predict - should panic ... ok [INFO] [stdout] test learning::k_means::test_no_train_predict - should panic ... ok [INFO] [stdout] test learning::lin_reg::test_no_train_params - should panic ... ok [INFO] [stdout] [INFO] [stdout] test result: ok. 19 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.02s [INFO] [stdout] [INFO] [stderr] Doc-tests rusty_machine [INFO] [stderr] warning: unnecessary parentheses around block return value [INFO] [stderr] --> src/learning/toolkit/kernel.rs:292:9 [INFO] [stderr] | [INFO] [stderr] 292 | (self.ampl * x.exp()) [INFO] [stderr] | ^ ^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default [INFO] [stderr] help: remove these parentheses [INFO] [stderr] | [INFO] [stderr] 292 - (self.ampl * x.exp()) [INFO] [stderr] 292 + self.ampl * x.exp() [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: unnecessary parentheses around block return value [INFO] [stderr] --> src/learning/toolkit/kernel.rs:354:9 [INFO] [stderr] | [INFO] [stderr] 354 | (self.ampl * x.exp()) [INFO] [stderr] | ^ ^ [INFO] [stderr] | [INFO] [stderr] help: remove these parentheses [INFO] [stderr] | [INFO] [stderr] 354 - (self.ampl * x.exp()) [INFO] [stderr] 354 + self.ampl * x.exp() [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: 2 warnings emitted [INFO] [stderr] [INFO] [stdout] [INFO] [stdout] running 59 tests [INFO] [stdout] test src/data/transforms/standardize.rs - data::transforms::standardize::Standardizer::new (line 72) ... ok [INFO] [stdout] test src/analysis/score.rs - analysis::score::precision (line 64) ... ok [INFO] [stdout] test src/data/transforms/minmax.rs - data::transforms::minmax::MinMaxScaler::new (line 67) ... ok [INFO] [stdout] test src/data/transforms/shuffle.rs - data::transforms::shuffle::Shuffler::new (line 45) ... ok [INFO] [stdout] test src/data/transforms/standardize.rs - data::transforms::standardize (line 12) ... ok [INFO] [stdout] test src/data/transforms/shuffle.rs - data::transforms::shuffle (line 9) ... ok [INFO] [stdout] test src/learning/dbscan.rs - learning::dbscan (line 21) ... ok [INFO] [stdout] test src/learning/glm.rs - learning::glm (line 14) ... ok [INFO] [stdout] test src/analysis/score.rs - analysis::score::recall (line 112) ... ok [INFO] [stdout] test src/learning/glm.rs - learning::glm::GenLinearModel::new (line 61) ... ok [INFO] [stdout] test src/analysis/score.rs - analysis::score::f1 (line 160) ... ok [INFO] [stdout] test src/analysis/score.rs - analysis::score::accuracy (line 23) ... ok [INFO] [stdout] test src/analysis/cross_validation.rs - analysis::cross_validation::k_fold_validate (line 22) ... ok [INFO] [stdout] test src/learning/gmm.rs - learning::gmm (line 7) ... ok [INFO] [stdout] test src/analysis/confusion_matrix.rs - analysis::confusion_matrix::confusion_matrix (line 24) ... ok [INFO] [stdout] test src/data/transforms/minmax.rs - data::transforms::minmax (line 12) ... ok [INFO] [stdout] test src/learning/gmm.rs - learning::gmm::GaussianMixtureModel::set_max_iters (line 216) ... ok [INFO] [stdout] test src/learning/k_means.rs - learning::k_means::KMeansClassifier::new_specified (line 144) ... ok [INFO] [stdout] test src/learning/logistic_reg.rs - learning::logistic_reg (line 11) ... ok [INFO] [stdout] test src/learning/gmm.rs - learning::gmm::GaussianMixtureModel::with_weights (line 149) ... ok [INFO] [stdout] test src/learning/gmm.rs - learning::gmm::GaussianMixtureModel::new (line 125) ... ok [INFO] [stdout] test src/learning/k_means.rs - learning::k_means::KMeansClassifier::new (line 121) ... ok [INFO] [stdout] test src/learning/lin_reg.rs - learning::lin_reg::LinRegressor::train (line 73) ... ok [INFO] [stdout] test src/learning/logistic_reg.rs - learning::logistic_reg::LogisticRegressor::train (line 104) ... ok [INFO] [stdout] test src/learning/k_means.rs - learning::k_means (line 7) ... ok [INFO] [stdout] test src/learning/gp.rs - learning::gp (line 7) ... ok [INFO] [stdout] test src/learning/naive_bayes.rs - learning::naive_bayes::NaiveBayes::new (line 65) ... ok [INFO] [stdout] test src/learning/naive_bayes.rs - learning::naive_bayes (line 11) ... ok [INFO] [stdout] test src/learning/nnet.rs - learning::nnet::BCECriterion::new (line 485) ... ok [INFO] [stdout] test src/learning/logistic_reg.rs - learning::logistic_reg::LogisticRegressor::new (line 73) ... ok [INFO] [stdout] test src/learning/gp.rs - learning::gp::GaussianProcess::new (line 105) ... ok [INFO] [stdout] test src/learning/lin_reg.rs - learning::lin_reg (line 11) ... ok [INFO] [stdout] test src/learning/nnet.rs - learning::nnet::NeuralNet<'a,T,A>::new (line 130) ... ok [INFO] [stdout] test src/learning/lin_reg.rs - learning::lin_reg::LinRegressor::train_with_optimization (line 134) ... ok [INFO] [stdout] test src/learning/svm.rs - learning::svm::SVM::new (line 85) ... ok [INFO] [stdout] test src/learning/optim/grad_desc.rs - learning::optim::grad_desc::GradientDesc::new (line 52) ... ok [INFO] [stdout] test src/learning/nnet.rs - learning::nnet::NeuralNet<'a,BCECriterion,StochasticGD>::default (line 102) ... ok [INFO] [stdout] test src/learning/nnet.rs - learning::nnet::NeuralNet<'a,T,A>::get_net_weights (line 150) ... ok [INFO] [stdout] test src/learning/optim/grad_desc.rs - learning::optim::grad_desc::StochasticGD::new (line 137) ... ok [INFO] [stdout] test src/learning/toolkit/kernel.rs - learning::toolkit::kernel::KernelProd (line 73) ... ok [INFO] [stdout] test src/learning/toolkit/kernel.rs - learning::toolkit::kernel::HyperTan::new (line 374) ... ok [INFO] [stdout] test src/learning/optim/grad_desc.rs - learning::optim::grad_desc::AdaGrad::new (line 222) ... ok [INFO] [stdout] test src/learning/nnet.rs - learning::nnet::MSECriterion::new (line 527) ... ok [INFO] [stdout] test src/learning/toolkit/kernel.rs - learning::toolkit::kernel::Polynomial::new (line 191) ... ok [INFO] [stdout] test src/learning/svm.rs - learning::svm (line 12) ... ok [INFO] [stdout] test src/learning/toolkit/kernel.rs - learning::toolkit::kernel::Multiquadric::new (line 426) ... ok [INFO] [stdout] test src/learning/toolkit/kernel.rs - learning::toolkit::kernel::SquaredExp::new (line 252) ... ok [INFO] [stdout] test src/learning/toolkit/kernel.rs - learning::toolkit::kernel::Exponential::new (line 314) ... ok [INFO] [stdout] test src/learning/nnet.rs - learning::nnet (line 7) ... ok [INFO] [stdout] test src/learning/optim/grad_desc.rs - learning::optim::grad_desc::RMSProp::new (line 347) ... ok [INFO] [stdout] test src/learning/toolkit/kernel.rs - learning::toolkit::kernel::RationalQuadratic::new (line 477) ... ok [INFO] [stdout] test src/learning/toolkit/regularization.rs - learning::toolkit::regularization (line 11) ... ok [INFO] [stdout] test src/learning/toolkit/kernel.rs - learning::toolkit::kernel::KernelSum (line 32) ... ok [INFO] [stdout] test src/learning/toolkit/rand_utils.rs - learning::toolkit::rand_utils::fisher_yates (line 47) ... ok [INFO] [stdout] test src/learning/toolkit/rand_utils.rs - learning::toolkit::rand_utils::reservoir_sample (line 8) ... ok [INFO] [stdout] test src/learning/toolkit/kernel.rs - learning::toolkit::kernel::Linear::new (line 143) ... ok [INFO] [stdout] test src/lib.rs - (line 99) ... ok [INFO] [stdout] test src/learning/toolkit/rand_utils.rs - learning::toolkit::rand_utils::in_place_fisher_yates (line 90) ... ok [INFO] [stdout] test src/lib.rs - (line 53) ... ok [INFO] [stdout] [INFO] [stdout] test result: ok. 59 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 2.92s [INFO] [stdout] [INFO] running `Command { std: "docker" "inspect" "d18746b20cd8d06c360a6cfc52dd04b161a0a51cb397f8a1d1d16c5acb73759c", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "d18746b20cd8d06c360a6cfc52dd04b161a0a51cb397f8a1d1d16c5acb73759c", kill_on_drop: false }` [INFO] [stdout] d18746b20cd8d06c360a6cfc52dd04b161a0a51cb397f8a1d1d16c5acb73759c