[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 }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FMrLeaw%2Frust-deep-learning'... 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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-2-tc2/source/Cargo.toml [INFO] validating manifest of git repo https://github.com/MrLeaw/rust-deep-learning on toolchain 446cb600aa4837dd6c513f14fa0d25a909b177d7 [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+446cb600aa4837dd6c513f14fa0d25a909b177d7" "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" "+446cb600aa4837dd6c513f14fa0d25a909b177d7" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] [stderr] Downloading crates ... [INFO] [stderr] Downloaded indicatif v0.17.9 [INFO] [stderr] Downloaded console v0.15.10 [INFO] [stderr] Downloaded portable-atomic v1.10.0 [INFO] [stderr] Downloaded syn v2.0.85 [INFO] [stderr] Downloaded libc v0.2.161 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-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@sha256:94a0c148923f5b2b52a63ef0eeb1882ad339ab61bce784c8077cbe41c61feb6c" "/opt/rustwide/cargo-home/bin/cargo" "+446cb600aa4837dd6c513f14fa0d25a909b177d7" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 95972e134d11e4a1ff7e4508549dda8a64b74714893ecfb2bf2bf0af174f0cb5 [INFO] running `Command { std: "docker" "start" "-a" "95972e134d11e4a1ff7e4508549dda8a64b74714893ecfb2bf2bf0af174f0cb5", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "95972e134d11e4a1ff7e4508549dda8a64b74714893ecfb2bf2bf0af174f0cb5", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "95972e134d11e4a1ff7e4508549dda8a64b74714893ecfb2bf2bf0af174f0cb5", kill_on_drop: false }` [INFO] [stdout] 95972e134d11e4a1ff7e4508549dda8a64b74714893ecfb2bf2bf0af174f0cb5 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-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@sha256:94a0c148923f5b2b52a63ef0eeb1882ad339ab61bce784c8077cbe41c61feb6c" "/opt/rustwide/cargo-home/bin/cargo" "+446cb600aa4837dd6c513f14fa0d25a909b177d7" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] ac1ab3e2ccf4ca9aa9724db17cb6a7ea5cba281009a8441a0d49612c3528ffd8 [INFO] running `Command { std: "docker" "start" "-a" "ac1ab3e2ccf4ca9aa9724db17cb6a7ea5cba281009a8441a0d49612c3528ffd8", kill_on_drop: false }` [INFO] [stderr] Compiling libc v0.2.161 [INFO] [stderr] Compiling unicode-ident v1.0.13 [INFO] [stderr] Checking byteorder v1.5.0 [INFO] [stderr] Compiling portable-atomic v1.10.0 [INFO] [stderr] Checking once_cell v1.20.2 [INFO] [stderr] Checking unicode-width v0.2.0 [INFO] [stderr] Compiling proc-macro2 v1.0.89 [INFO] [stderr] Compiling quote v1.0.37 [INFO] [stderr] Compiling syn v2.0.85 [INFO] [stderr] Checking getrandom v0.2.15 [INFO] [stderr] Checking console v0.15.10 [INFO] [stderr] Checking rand_core v0.6.4 [INFO] [stderr] Checking indicatif v0.17.9 [INFO] [stderr] Compiling zerocopy-derive v0.7.35 [INFO] [stderr] Checking zerocopy v0.7.35 [INFO] [stderr] Checking ppv-lite86 v0.2.20 [INFO] [stderr] Checking rand_chacha v0.3.1 [INFO] [stderr] Checking rand v0.8.5 [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, 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, x2: &Vec) -> 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>) { [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) -> Vec { [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) -> Vec { [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) -> Vec { [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, 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> { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 217 | pub fn predict_one(&self, inputs: Vec) -> Vec { [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 222 | fn forward(&self, inputs: &Vec) -> Vec { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 240 | fn train(&mut self, train_x: Vec>, train_y: Vec>, lr: f64, iters: u64) { [INFO] [stdout] | ^^^^^ [INFO] [stdout] ... [INFO] [stdout] 258 | fn mse(&self, x_train: Vec>, y_train: Vec) -> f64 { [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 271 | fn train_iter(&mut self, inputs: &Vec, targets: &Vec, 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>, y: &mut Vec) { [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) { [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> { [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: 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: unused variable: `activation` [INFO] [stdout] --> src/fully_connected_neural_network.rs:148:42 [INFO] [stdout] | [INFO] [stdout] 148 | fn forward(&self, inputs: &Vec, 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: 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: 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, x2: &Vec) -> 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] [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] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 7.05s [INFO] running `Command { std: "docker" "inspect" "ac1ab3e2ccf4ca9aa9724db17cb6a7ea5cba281009a8441a0d49612c3528ffd8", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "ac1ab3e2ccf4ca9aa9724db17cb6a7ea5cba281009a8441a0d49612c3528ffd8", kill_on_drop: false }` [INFO] [stdout] ac1ab3e2ccf4ca9aa9724db17cb6a7ea5cba281009a8441a0d49612c3528ffd8