[INFO] cloning repository https://github.com/MrLeaw/rust-deep-learning
[INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/MrLeaw/rust-deep-learning" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FMrLeaw%2Frust-deep-learning", kill_on_drop: false }`
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[INFO] [stdout] 906b096aff71cefa2c0fcea25446d76d16c25ad0
[INFO] checking MrLeaw/rust-deep-learning against e977a0b5ab976a591981e7263bd67a71a4f79308 for pr-158914
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FMrLeaw%2Frust-deep-learning" "/workspace/builds/worker-3-tc2/source", kill_on_drop: false }`
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[INFO] started tweaking git repo https://github.com/MrLeaw/rust-deep-learning
[INFO] finished tweaking git repo https://github.com/MrLeaw/rust-deep-learning
[INFO] tweaked toml for git repo https://github.com/MrLeaw/rust-deep-learning written to /workspace/builds/worker-3-tc2/source/Cargo.toml
[INFO] validating manifest of git repo https://github.com/MrLeaw/rust-deep-learning on toolchain e977a0b5ab976a591981e7263bd67a71a4f79308
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+e977a0b5ab976a591981e7263bd67a71a4f79308" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate git repo https://github.com/MrLeaw/rust-deep-learning 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" "+e977a0b5ab976a591981e7263bd67a71a4f79308" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
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[INFO] [stderr]   Downloaded wasm-bindgen-shared v0.2.99
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[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/target:/opt/rustwide/target:rw,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" "-m" "1610612736" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:3d5ced03c013a94a2f102a4510f48a6e9184255caf5fd8244f58017bde7f5210" "sleep" "infinity", kill_on_drop: false }`
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[INFO] running `Command { std: "docker" "inspect" "d4d1ca0d40e314d528bc115f29f8d9a1258f5b8c18cd2a66df8ae78375380086", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "exec" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-w" "/opt/rustwide/workdir" "--user" "0:0" "d4d1ca0d40e314d528bc115f29f8d9a1258f5b8c18cd2a66df8ae78375380086" "/opt/rustwide/cargo-home/bin/cargo" "+e977a0b5ab976a591981e7263bd67a71a4f79308" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "d4d1ca0d40e314d528bc115f29f8d9a1258f5b8c18cd2a66df8ae78375380086", kill_on_drop: false }`
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[INFO] [stderr]     Checking byteorder v1.5.0
[INFO] [stderr]    Compiling portable-atomic v1.10.0
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[INFO] [stderr]     Checking rand_chacha v0.3.1
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[INFO] [stderr]     Checking deep-learning v0.1.0 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused import: `load_iris_dataset`
[INFO] [stdout]    --> src/gradient_boosting_machine.rs:149:55
[INFO] [stdout]     |
[INFO] [stdout] 149 |     use crate::datasets::{load_breast_cancer_dataset, load_iris_dataset, train_test_split};
[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: `estimator_index`
[INFO] [stdout]   --> src/gradient_boosting_machine.rs:52:17
[INFO] [stdout]    |
[INFO] [stdout] 52 |             for estimator_index in 0..self.n_estimators {
[INFO] [stdout]    |                 ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator_index`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `activation`
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:148:42
[INFO] [stdout]     |
[INFO] [stdout] 148 |     fn forward(&self, inputs: &Vec<f64>, activation: &Activation) -> f64 {
[INFO] [stdout]     |                                          ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_activation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:285:13
[INFO] [stdout]     |
[INFO] [stdout] 285 |         let mut output_layer_inputs = layer_outputs.last().unwrap_or(&inputs).clone();
[INFO] [stdout]     |             ----^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |             |
[INFO] [stdout]     |             help: remove this `mut`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `kernel_linear` is never used
[INFO] [stdout]    --> src/support_vector_machine.rs:206:8
[INFO] [stdout]     |
[INFO] [stdout]  12 | impl SupportVectorMachine {
[INFO] [stdout]     | ------------------------- associated function in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 206 |     fn kernel_linear(x1: &Vec<f64>, x2: &Vec<f64>) -> f64 {
[INFO] [stdout]     |        ^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `standardize` is never used
[INFO] [stdout]    --> src/support_vector_machine.rs:246:4
[INFO] [stdout]     |
[INFO] [stdout] 246 | fn standardize(data: &mut Vec<Vec<f64>>) {
[INFO] [stdout]     |    ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `convert_y` is never used
[INFO] [stdout]    --> src/support_vector_machine.rs:280:4
[INFO] [stdout]     |
[INFO] [stdout] 280 | fn convert_y(y: Vec<f64>) -> Vec<f64> {
[INFO] [stdout]     |    ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `sigmoid` is never used
[INFO] [stdout]  --> src/fully_connected_neural_network.rs:4:4
[INFO] [stdout]   |
[INFO] [stdout] 4 | fn sigmoid(x: f64) -> f64 {
[INFO] [stdout]   |    ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `relu` is never used
[INFO] [stdout]  --> src/fully_connected_neural_network.rs:8:4
[INFO] [stdout]   |
[INFO] [stdout] 8 | fn relu(x: f64) -> f64 {
[INFO] [stdout]   |    ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `linear` is never used
[INFO] [stdout]   --> src/fully_connected_neural_network.rs:16:4
[INFO] [stdout]    |
[INFO] [stdout] 16 | fn linear(x: f64) -> f64 {
[INFO] [stdout]    |    ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `leaky_relu` is never used
[INFO] [stdout]   --> src/fully_connected_neural_network.rs:20:4
[INFO] [stdout]    |
[INFO] [stdout] 20 | fn leaky_relu(x: f64) -> f64 {
[INFO] [stdout]    |    ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `softmax` is never used
[INFO] [stdout]   --> src/fully_connected_neural_network.rs:28:4
[INFO] [stdout]    |
[INFO] [stdout] 28 | fn softmax(x: Vec<f64>) -> Vec<f64> {
[INFO] [stdout]    |    ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: enum `Activation` is never used
[INFO] [stdout]   --> src/fully_connected_neural_network.rs:34:6
[INFO] [stdout]    |
[INFO] [stdout] 34 | enum Activation {
[INFO] [stdout]    |      ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `ModelBuilder` is never constructed
[INFO] [stdout]   --> src/fully_connected_neural_network.rs:42:8
[INFO] [stdout]    |
[INFO] [stdout] 42 | struct ModelBuilder {
[INFO] [stdout]    |        ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `input_nodes`, `hidden_layer`, `output_nodes`, and `build` are never used
[INFO] [stdout]   --> src/fully_connected_neural_network.rs:49:12
[INFO] [stdout]    |
[INFO] [stdout] 48 | impl ModelBuilder {
[INFO] [stdout]    | ----------------- associated items in this implementation
[INFO] [stdout] 49 |     pub fn new() -> ModelBuilder {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 57 |     pub fn input_nodes(&mut self, num_input_nodes: usize) -> &mut Self {
[INFO] [stdout]    |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 62 |     pub fn hidden_layer(&mut self, num_nodes: usize, activation: Activation) -> &mut Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 67 |     pub fn output_nodes(&mut self, num_output_nodes: usize, activation: Activation) -> &mut Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 72 |     pub fn build(&self) -> NeuralNetwork {
[INFO] [stdout]    |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `activate`, `activate_vector`, and `derivative` are never used
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:83:8
[INFO] [stdout]     |
[INFO] [stdout]  82 | impl Activation {
[INFO] [stdout]     | --------------- methods in this implementation
[INFO] [stdout]  83 |     fn activate(&self, x: f64) -> f64 {
[INFO] [stdout]     |        ^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout]  93 |     fn activate_vector(&self, x: Vec<f64>) -> Vec<f64> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 100 |     fn derivative(&self, x: f64) -> f64 {
[INFO] [stdout]     |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Node` is never constructed
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:124:8
[INFO] [stdout]     |
[INFO] [stdout] 124 | struct Node {
[INFO] [stdout]     |        ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new` and `forward` are never used
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:141:8
[INFO] [stdout]     |
[INFO] [stdout] 140 | impl Node {
[INFO] [stdout]     | --------- associated items in this implementation
[INFO] [stdout] 141 |     fn new(num_weights: usize) -> Node {
[INFO] [stdout]     |        ^^^
[INFO] [stdout] ...
[INFO] [stdout] 148 |     fn forward(&self, inputs: &Vec<f64>, activation: &Activation) -> f64 {
[INFO] [stdout]     |        ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `NeuralNetwork` is never constructed
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:170:8
[INFO] [stdout]     |
[INFO] [stdout] 170 | struct NeuralNetwork {
[INFO] [stdout]     |        ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: multiple associated items are never used
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:185:8
[INFO] [stdout]     |
[INFO] [stdout] 184 | impl NeuralNetwork {
[INFO] [stdout]     | ------------------ associated items in this implementation
[INFO] [stdout] 185 |     fn new(
[INFO] [stdout]     |        ^^^
[INFO] [stdout] ...
[INFO] [stdout] 213 |     pub fn predict(&self, inputs: Vec<Vec<f64>>) -> Vec<Vec<f64>> {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 217 |     pub fn predict_one(&self, inputs: Vec<f64>) -> Vec<f64> {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 222 |     fn forward(&self, inputs: &Vec<f64>) -> Vec<f64> {
[INFO] [stdout]     |        ^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 240 |     fn train(&mut self, train_x: Vec<Vec<f64>>, train_y: Vec<Vec<f64>>, lr: f64, iters: u64) {
[INFO] [stdout]     |        ^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 258 |     fn mse(&self, x_train: Vec<Vec<f64>>, y_train: Vec<f64>) -> f64 {
[INFO] [stdout]     |        ^^^
[INFO] [stdout] ...
[INFO] [stdout] 271 |     fn train_iter(&mut self, inputs: &Vec<f64>, targets: &Vec<f64>, lr: f64) {
[INFO] [stdout]     |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `normalize_x_y` is never used
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:366:4
[INFO] [stdout]     |
[INFO] [stdout] 366 | fn normalize_x_y(x: &mut Vec<Vec<f64>>, y: &mut Vec<f64>) {
[INFO] [stdout]     |    ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `normalize_column` is never used
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:378:4
[INFO] [stdout]     |
[INFO] [stdout] 378 | fn normalize_column(column: &mut Vec<f64>) {
[INFO] [stdout]     |    ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `transpose` is never used
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:386:4
[INFO] [stdout]     |
[INFO] [stdout] 386 | fn transpose(x: &Vec<Vec<f64>>) -> Vec<Vec<f64>> {
[INFO] [stdout]     |    ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `entr`
[INFO] [stdout]    --> src/decision_tree.rs:391:13
[INFO] [stdout]     |
[INFO] [stdout] 391 |         let entr = entropy(&data);
[INFO] [stdout]     |             ^^^^ help: if this is intentional, prefix it with an underscore: `_entr`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `score`
[INFO] [stdout]    --> src/decision_tree.rs:410:17
[INFO] [stdout]     |
[INFO] [stdout] 410 |             let score = information_gain(&y, &val, 2.5);
[INFO] [stdout]     |                 ^^^^^ help: if this is intentional, prefix it with an underscore: `_score`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `run_logistic_regression_iris` is never used
[INFO] [stdout]    --> src/main.rs:183:4
[INFO] [stdout]     |
[INFO] [stdout] 183 | fn run_logistic_regression_iris() {
[INFO] [stdout]     |    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `estimator_index`
[INFO] [stdout]   --> src/gradient_boosting_machine.rs:52:17
[INFO] [stdout]    |
[INFO] [stdout] 52 |             for estimator_index in 0..self.n_estimators {
[INFO] [stdout]    |                 ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_estimator_index`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `run_logistic_regression_iris` is never used
[INFO] [stdout]    --> src/main.rs:183:4
[INFO] [stdout]     |
[INFO] [stdout] 183 | fn run_logistic_regression_iris() {
[INFO] [stdout]     |    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `activation`
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:148:42
[INFO] [stdout]     |
[INFO] [stdout] 148 |     fn forward(&self, inputs: &Vec<f64>, activation: &Activation) -> f64 {
[INFO] [stdout]     |                                          ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_activation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/fully_connected_neural_network.rs:285:13
[INFO] [stdout]     |
[INFO] [stdout] 285 |         let mut output_layer_inputs = layer_outputs.last().unwrap_or(&inputs).clone();
[INFO] [stdout]     |             ----^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |             |
[INFO] [stdout]     |             help: remove this `mut`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `kernel_linear` is never used
[INFO] [stdout]    --> src/support_vector_machine.rs:206:8
[INFO] [stdout]     |
[INFO] [stdout]  12 | impl SupportVectorMachine {
[INFO] [stdout]     | ------------------------- associated function in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 206 |     fn kernel_linear(x1: &Vec<f64>, x2: &Vec<f64>) -> f64 {
[INFO] [stdout]     |        ^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variants `Linear`, `LeakyRelu`, and `Softmax` are never constructed
[INFO] [stdout]   --> src/fully_connected_neural_network.rs:37:5
[INFO] [stdout]    |
[INFO] [stdout] 34 | enum Activation {
[INFO] [stdout]    |      ---------- variants in this enum
[INFO] [stdout] ...
[INFO] [stdout] 37 |     Linear,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 38 |     LeakyRelu,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 39 |     Softmax,
[INFO] [stdout]    |     ^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `Activation` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `X` should have a snake case name
[INFO] [stdout]    --> src/decision_tree.rs:395:13
[INFO] [stdout]     |
[INFO] [stdout] 395 |         let X = vec![
[INFO] [stdout]     |             ^ help: convert the identifier to snake case (notice the capitalization): `x`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 6.60s
[INFO] running `Command { std: "docker" "inspect" "d4d1ca0d40e314d528bc115f29f8d9a1258f5b8c18cd2a66df8ae78375380086", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "d4d1ca0d40e314d528bc115f29f8d9a1258f5b8c18cd2a66df8ae78375380086", kill_on_drop: false }`
[INFO] [stdout] d4d1ca0d40e314d528bc115f29f8d9a1258f5b8c18cd2a66df8ae78375380086
