[INFO] cloning repository https://github.com/SSebigo/iris-classification [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/SSebigo/iris-classification" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FSSebigo%2Firis-classification", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FSSebigo%2Firis-classification'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] 49bdf25c8825328d541edd31a06875d882b6fd94 [INFO] checking SSebigo/iris-classification/49bdf25c8825328d541edd31a06875d882b6fd94 against master#4068bafedd8ba724e332a5221c06a6fa531a30d2 for pr-146978 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FSSebigo%2Firis-classification" "/workspace/builds/worker-5-tc1/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-5-tc1/source'... [INFO] [stderr] done. [INFO] started tweaking git repo https://github.com/SSebigo/iris-classification [INFO] finished tweaking git repo https://github.com/SSebigo/iris-classification [INFO] tweaked toml for git repo https://github.com/SSebigo/iris-classification written to /workspace/builds/worker-5-tc1/source/Cargo.toml [INFO] validating manifest of git repo https://github.com/SSebigo/iris-classification on toolchain 4068bafedd8ba724e332a5221c06a6fa531a30d2 [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+4068bafedd8ba724e332a5221c06a6fa531a30d2" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate git repo https://github.com/SSebigo/iris-classification already has a lockfile, it will not be regenerated [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+4068bafedd8ba724e332a5221c06a6fa531a30d2" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Downloading crates ... [INFO] [stderr] Downloaded rand_os v0.1.1 [INFO] [stderr] Downloaded ndarray-rand v0.9.0 [INFO] [stderr] Downloaded num-complex v0.2.1 [INFO] [stderr] Downloaded itertools v0.7.11 [INFO] [stderr] Downloaded rand_jitter v0.1.1 [INFO] [stderr] Downloaded ndarray v0.12.1 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:e90291280db7d1fac5b66fc6dad9f9662629e7365a55743daf9bdf73ebc4ea79" "/opt/rustwide/cargo-home/bin/cargo" "+4068bafedd8ba724e332a5221c06a6fa531a30d2" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 5dc0943b47a8e93ba6e66f29fce000fe49acca9165ecc10e55df5bbcd60b983f [INFO] running `Command { std: "docker" "start" "-a" "5dc0943b47a8e93ba6e66f29fce000fe49acca9165ecc10e55df5bbcd60b983f", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "5dc0943b47a8e93ba6e66f29fce000fe49acca9165ecc10e55df5bbcd60b983f", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "5dc0943b47a8e93ba6e66f29fce000fe49acca9165ecc10e55df5bbcd60b983f", kill_on_drop: false }` [INFO] [stdout] 5dc0943b47a8e93ba6e66f29fce000fe49acca9165ecc10e55df5bbcd60b983f [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:e90291280db7d1fac5b66fc6dad9f9662629e7365a55743daf9bdf73ebc4ea79" "/opt/rustwide/cargo-home/bin/cargo" "+4068bafedd8ba724e332a5221c06a6fa531a30d2" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 48be929a0f441cdc4759171b208e8af5655ce2b347a9ca305e1d611ccf67fa8d [INFO] running `Command { std: "docker" "start" "-a" "48be929a0f441cdc4759171b208e8af5655ce2b347a9ca305e1d611ccf67fa8d", kill_on_drop: false }` [INFO] [stderr] Compiling num-traits v0.2.6 [INFO] [stderr] Compiling libc v0.2.48 [INFO] [stderr] Compiling num-complex v0.2.1 [INFO] [stderr] Compiling matrixmultiply v0.1.15 [INFO] [stderr] Checking either v1.5.0 [INFO] [stderr] Checking rawpointer v0.1.0 [INFO] [stderr] Compiling ndarray v0.12.1 [INFO] [stderr] Checking rand_jitter v0.1.1 [INFO] [stderr] Compiling rand_pcg v0.1.1 [INFO] [stderr] Checking itertools v0.7.11 [INFO] [stderr] Checking rand_os v0.1.1 [INFO] [stderr] Checking rand v0.6.5 [INFO] [stderr] Checking ndarray-rand v0.9.0 [INFO] [stderr] Checking iris-classification v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `Array` [INFO] [stdout] --> src/model.rs:1:15 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{Array, Array2}; [INFO] [stdout] | ^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Array` [INFO] [stdout] --> src/model.rs:1:15 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{Array, Array2}; [INFO] [stdout] | ^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `set_labels` [INFO] [stdout] --> src/model.rs:76:52 [INFO] [stdout] | [INFO] [stdout] 76 | pub fn fit(&mut self, training_set: Vec, set_labels: Vec<&str>, epochs: usize) { [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_set_labels` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `test_set` [INFO] [stdout] --> src/model.rs:132:21 [INFO] [stdout] | [INFO] [stdout] 132 | pub fn evaluate(test_set: Vec, set_labels: Vec<&str>) -> (usize, usize) { [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_test_set` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `set_labels` [INFO] [stdout] --> src/model.rs:132:41 [INFO] [stdout] | [INFO] [stdout] 132 | pub fn evaluate(test_set: Vec, set_labels: Vec<&str>) -> (usize, usize) { [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_set_labels` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `prediction_set` [INFO] [stdout] --> src/model.rs:136:23 [INFO] [stdout] | [INFO] [stdout] 136 | pub fn predict(prediction_set: T) -> Array2 { [INFO] [stdout] | ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prediction_set` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/model.rs:141:13 [INFO] [stdout] | [INFO] [stdout] 141 | let learning_rate = 0.001; [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `beta_1` [INFO] [stdout] --> src/model.rs:142:13 [INFO] [stdout] | [INFO] [stdout] 142 | let beta_1 = 0.9; [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_beta_1` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `beta_2` [INFO] [stdout] --> src/model.rs:143:13 [INFO] [stdout] | [INFO] [stdout] 143 | let beta_2 = 0.999; [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_beta_2` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epsilon` [INFO] [stdout] --> src/model.rs:144:13 [INFO] [stdout] | [INFO] [stdout] 144 | let epsilon = 10_f64.powf(-8_f64); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_epsilon` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `test_set` [INFO] [stdout] --> src/main.rs:26:21 [INFO] [stdout] | [INFO] [stdout] 26 | let (train_set, test_set) = (train_set.to_vec(), test_set.to_vec()); [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_test_set` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `class_vec` is never read [INFO] [stdout] --> src/iris.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 4 | pub struct Iris { [INFO] [stdout] | ---- field in this struct [INFO] [stdout] ... [INFO] [stdout] 7 | class_vec: Vec, [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `Iris` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `sigmoid_prime` is never used [INFO] [stdout] --> src/layer.rs:63:8 [INFO] [stdout] | [INFO] [stdout] 11 | impl Layer { [INFO] [stdout] | ---------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 63 | fn sigmoid_prime(&mut self) { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `set_labels` [INFO] [stdout] --> src/model.rs:76:52 [INFO] [stdout] | [INFO] [stdout] 76 | pub fn fit(&mut self, training_set: Vec, set_labels: Vec<&str>, epochs: usize) { [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_set_labels` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `evaluate`, `predict`, `adam_optimizer`, `gradient_descent`, and `mean_squared_error` are never used [INFO] [stdout] --> src/model.rs:132:12 [INFO] [stdout] | [INFO] [stdout] 17 | impl Model { [INFO] [stdout] | ---------- associated items in this implementation [INFO] [stdout] ... [INFO] [stdout] 132 | pub fn evaluate(test_set: Vec, set_labels: Vec<&str>) -> (usize, usize) { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 136 | pub fn predict(prediction_set: T) -> Array2 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 140 | fn adam_optimizer(&mut self) { [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 147 | fn gradient_descent(&mut self) { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 155 | fn mean_squared_error(&mut self, prediction: Array2, target: Array2) -> Array2 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `test_set` [INFO] [stdout] --> src/model.rs:132:21 [INFO] [stdout] | [INFO] [stdout] 132 | pub fn evaluate(test_set: Vec, set_labels: Vec<&str>) -> (usize, usize) { [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_test_set` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `set_labels` [INFO] [stdout] --> src/model.rs:132:41 [INFO] [stdout] | [INFO] [stdout] 132 | pub fn evaluate(test_set: Vec, set_labels: Vec<&str>) -> (usize, usize) { [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_set_labels` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `prediction_set` [INFO] [stdout] --> src/model.rs:136:23 [INFO] [stdout] | [INFO] [stdout] 136 | pub fn predict(prediction_set: T) -> Array2 { [INFO] [stdout] | ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prediction_set` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/model.rs:141:13 [INFO] [stdout] | [INFO] [stdout] 141 | let learning_rate = 0.001; [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `beta_1` [INFO] [stdout] --> src/model.rs:142:13 [INFO] [stdout] | [INFO] [stdout] 142 | let beta_1 = 0.9; [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_beta_1` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `beta_2` [INFO] [stdout] --> src/model.rs:143:13 [INFO] [stdout] | [INFO] [stdout] 143 | let beta_2 = 0.999; [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_beta_2` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epsilon` [INFO] [stdout] --> src/model.rs:144:13 [INFO] [stdout] | [INFO] [stdout] 144 | let epsilon = 10_f64.powf(-8_f64); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_epsilon` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `test_set` [INFO] [stdout] --> src/main.rs:26:21 [INFO] [stdout] | [INFO] [stdout] 26 | let (train_set, test_set) = (train_set.to_vec(), test_set.to_vec()); [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_test_set` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `class_vec` is never read [INFO] [stdout] --> src/iris.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 4 | pub struct Iris { [INFO] [stdout] | ---- field in this struct [INFO] [stdout] ... [INFO] [stdout] 7 | class_vec: Vec, [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `Iris` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `sigmoid_prime` is never used [INFO] [stdout] --> src/layer.rs:63:8 [INFO] [stdout] | [INFO] [stdout] 11 | impl Layer { [INFO] [stdout] | ---------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 63 | fn sigmoid_prime(&mut self) { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `evaluate`, `predict`, `adam_optimizer`, `gradient_descent`, and `mean_squared_error` are never used [INFO] [stdout] --> src/model.rs:132:12 [INFO] [stdout] | [INFO] [stdout] 17 | impl Model { [INFO] [stdout] | ---------- associated items in this implementation [INFO] [stdout] ... [INFO] [stdout] 132 | pub fn evaluate(test_set: Vec, set_labels: Vec<&str>) -> (usize, usize) { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 136 | pub fn predict(prediction_set: T) -> Array2 { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 140 | fn adam_optimizer(&mut self) { [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 147 | fn gradient_descent(&mut self) { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 155 | fn mean_squared_error(&mut self, prediction: Array2, target: Array2) -> Array2 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 2.24s [INFO] running `Command { std: "docker" "inspect" "48be929a0f441cdc4759171b208e8af5655ce2b347a9ca305e1d611ccf67fa8d", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "48be929a0f441cdc4759171b208e8af5655ce2b347a9ca305e1d611ccf67fa8d", kill_on_drop: false }` [INFO] [stdout] 48be929a0f441cdc4759171b208e8af5655ce2b347a9ca305e1d611ccf67fa8d