[INFO] fetching crate rusty-machine 0.5.4... [INFO] checking rusty-machine-0.5.4 against try#a4980311fb7bb9e7893708e6bd3fbbfb2819fd3d for pr-145342-1 [INFO] extracting crate rusty-machine 0.5.4 into /workspace/builds/worker-1-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-1-tc2/source/Cargo.toml [INFO] validating manifest of crates.io crate rusty-machine 0.5.4 on toolchain a4980311fb7bb9e7893708e6bd3fbbfb2819fd3d [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+a4980311fb7bb9e7893708e6bd3fbbfb2819fd3d" "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" "+a4980311fb7bb9e7893708e6bd3fbbfb2819fd3d" "generate-lockfile" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] [stderr] Updating crates.io index [INFO] [stderr] Blocking waiting for file lock on package cache [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" "+a4980311fb7bb9e7893708e6bd3fbbfb2819fd3d" "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] [stderr] Blocking waiting for file lock on package cache [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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" "+a4980311fb7bb9e7893708e6bd3fbbfb2819fd3d" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 6037800d210da43f650750998a67ca37b35e5bbd41e175f49defa18fad8d6e97 [INFO] running `Command { std: "docker" "start" "-a" "6037800d210da43f650750998a67ca37b35e5bbd41e175f49defa18fad8d6e97", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "6037800d210da43f650750998a67ca37b35e5bbd41e175f49defa18fad8d6e97", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "6037800d210da43f650750998a67ca37b35e5bbd41e175f49defa18fad8d6e97", kill_on_drop: false }` [INFO] [stdout] 6037800d210da43f650750998a67ca37b35e5bbd41e175f49defa18fad8d6e97 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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" "+a4980311fb7bb9e7893708e6bd3fbbfb2819fd3d" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] ddf493e056204e4a1fdfd34c66bfc32f7963aa83e37f25c199184a693e8de9e8 [INFO] running `Command { std: "docker" "start" "-a" "ddf493e056204e4a1fdfd34c66bfc32f7963aa83e37f25c199184a693e8de9e8", kill_on_drop: false }` [INFO] [stderr] warning: no edition set: defaulting to the 2015 edition while the latest is 2024 [INFO] [stderr] Compiling autocfg v1.5.0 [INFO] [stderr] Compiling libc v0.2.175 [INFO] [stderr] Compiling matrixmultiply v0.1.15 [INFO] [stderr] Checking rawpointer v0.1.0 [INFO] [stderr] Compiling num-traits v0.2.19 [INFO] [stderr] Checking rand v0.4.6 [INFO] [stderr] Checking num-integer v0.1.46 [INFO] [stderr] Checking rand v0.3.23 [INFO] [stderr] Checking num-iter v0.1.45 [INFO] [stderr] Checking num v0.1.43 [INFO] [stderr] Checking rulinalg v0.3.7 [INFO] [stderr] Checking rusty-machine v0.5.4 (/opt/rustwide/workdir) [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: 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)]` on by default [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/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: 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: 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)]` 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/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/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/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/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 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)]` 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)]` 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: 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)]` 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: 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: 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)]` on by default [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)]` 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 `dev` profile [unoptimized + debuginfo] target(s) in 5.10s [INFO] running `Command { std: "docker" "inspect" "ddf493e056204e4a1fdfd34c66bfc32f7963aa83e37f25c199184a693e8de9e8", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "ddf493e056204e4a1fdfd34c66bfc32f7963aa83e37f25c199184a693e8de9e8", kill_on_drop: false }` [INFO] [stdout] ddf493e056204e4a1fdfd34c66bfc32f7963aa83e37f25c199184a693e8de9e8