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[INFO] started tweaking git repo https://github.com/TheHuziek/pio-net [INFO] finished tweaking git repo https://github.com/TheHuziek/pio-net [INFO] tweaked toml for git repo https://github.com/TheHuziek/pio-net written to /workspace/builds/worker-6-tc2/source/Cargo.toml [INFO] validating manifest of git repo https://github.com/TheHuziek/pio-net on toolchain b946edaa85de45f124065f52b1bc55ba2fb4f9fb [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+b946edaa85de45f124065f52b1bc55ba2fb4f9fb" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate git repo https://github.com/TheHuziek/pio-net 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" "+b946edaa85de45f124065f52b1bc55ba2fb4f9fb" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-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@sha256:3e793bdf10248eb2ddbd6b0faebed8155c11b4589982e2893733958d93e8d540" "sleep" "infinity", kill_on_drop: false }` [INFO] [stdout] dc17946bed96b6355effe4356a56482314b22ad297a412dea7fdf08e75850929 [INFO] running `Command { std: "docker" "start" "dc17946bed96b6355effe4356a56482314b22ad297a412dea7fdf08e75850929", 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" "dc17946bed96b6355effe4356a56482314b22ad297a412dea7fdf08e75850929" "/opt/rustwide/cargo-home/bin/cargo" "+b946edaa85de45f124065f52b1bc55ba2fb4f9fb" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "dc17946bed96b6355effe4356a56482314b22ad297a412dea7fdf08e75850929", 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" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-w" "/opt/rustwide/workdir" "--user" "0:0" "dc17946bed96b6355effe4356a56482314b22ad297a412dea7fdf08e75850929" "/opt/rustwide/cargo-home/bin/cargo" "+b946edaa85de45f124065f52b1bc55ba2fb4f9fb" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }` [INFO] [stderr] Compiling num-traits v0.2.19 [INFO] [stderr] Compiling libc v0.2.171 [INFO] [stderr] Compiling proc-macro2 v1.0.94 [INFO] [stderr] Compiling zerocopy v0.8.23 [INFO] [stderr] Compiling getrandom v0.3.2 [INFO] [stderr] Checking bytemuck v1.22.0 [INFO] [stderr] Checking safe_arch v0.7.4 [INFO] [stderr] Checking wide v0.7.32 [INFO] [stderr] Compiling quote v1.0.40 [INFO] [stderr] Checking rand_core v0.9.3 [INFO] [stderr] Checking num-complex v0.4.6 [INFO] [stderr] Checking num-integer v0.1.46 [INFO] [stderr] Checking approx v0.5.1 [INFO] [stderr] Compiling syn v2.0.100 [INFO] [stderr] Checking num-rational v0.4.2 [INFO] [stderr] Checking ppv-lite86 v0.2.21 [INFO] [stderr] Checking rand_chacha v0.9.0 [INFO] [stderr] Checking rand v0.9.0 [INFO] [stderr] Checking simba v0.9.0 [INFO] [stderr] Compiling nalgebra-macros v0.2.2 [INFO] [stderr] Checking nalgebra v0.33.2 [INFO] [stderr] Checking pio-net v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: variant `gelu` should have an upper camel case name [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | gelu, [INFO] [stdout] | ^^^^ help: convert the identifier to upper camel case: `Gelu` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_camel_case_types)]` (part of `#[warn(nonstandard_style)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `zero` [INFO] [stdout] --> src/neuronal_net/neuronal_net.rs:3:10 [INFO] [stdout] | [INFO] [stdout] 3 | use na::{zero, DMatrix}; [INFO] [stdout] | ^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:56:13 [INFO] [stdout] | [INFO] [stdout] 56 | let mut delta_output = subtract(&prediction, &expected_output); [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: unused variable: `config` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:48:88 [INFO] [stdout] | [INFO] [stdout] 48 | pub fn back_propagation(&self, input: DMatrix, expected_output: DMatrix, config: NeuralNetConfig) { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_config` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `error` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:54:13 [INFO] [stdout] | [INFO] [stdout] 54 | let error = binary_cross_entropy_loss(&prediction, &expected_output); [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_error` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `delta_output` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:56:13 [INFO] [stdout] | [INFO] [stdout] 56 | let mut delta_output = subtract(&prediction, &expected_output); [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_delta_output` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variants `LeakyReLU`, `Tanh`, `Softmax`, and `gelu` are never constructed [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 3 | pub enum ActivationFunctions{ [INFO] [stdout] | ------------------- variants in this enum [INFO] [stdout] ... [INFO] [stdout] 6 | LeakyReLU, [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] 7 | Tanh, [INFO] [stdout] | ^^^^ [INFO] [stdout] 8 | Softmax, [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] 9 | gelu, [INFO] [stdout] | ^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `ActivationFunctions` 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: struct `ActivationFunction` is never constructed [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:11:12 [INFO] [stdout] | [INFO] [stdout] 11 | pub struct ActivationFunction{} [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `derivative` is never used [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:24:12 [INFO] [stdout] | [INFO] [stdout] 12 | impl ActivationFunctions { [INFO] [stdout] | ------------------------ method in this implementation [INFO] [stdout] ... [INFO] [stdout] 24 | pub fn derivative(&self, x: f64) -> f64 { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `sigmoid_prime` is never used [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:39:4 [INFO] [stdout] | [INFO] [stdout] 39 | fn sigmoid_prime(x: f64) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `num_epochs` and `learning_rate` are never read [INFO] [stdout] --> src/neuronal_net/neuronal_net.rs:21:9 [INFO] [stdout] | [INFO] [stdout] 20 | pub struct NeuralNetConfig { [INFO] [stdout] | --------------- fields in this struct [INFO] [stdout] 21 | pub num_epochs: i64, [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] 22 | pub learning_rate: f64, [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `NeuralNetConfig` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `config` is never read [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:13:9 [INFO] [stdout] | [INFO] [stdout] 6 | pub struct NeuralNetCompiled { [INFO] [stdout] | ----------------- field in this struct [INFO] [stdout] ... [INFO] [stdout] 13 | pub config: NeuralNetConfig, [INFO] [stdout] | ^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `NeuralNetCompiled` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `train` and `back_propagation` are never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:16:12 [INFO] [stdout] | [INFO] [stdout] 15 | impl NeuralNetCompiled { [INFO] [stdout] | ---------------------- associated items in this implementation [INFO] [stdout] 16 | pub fn train() {} [INFO] [stdout] | ^^^^^ [INFO] [stdout] ... [INFO] [stdout] 48 | pub fn back_propagation(&self, input: DMatrix, expected_output: DMatrix, config: NeuralNetConfig) { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `multiply` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:64:4 [INFO] [stdout] | [INFO] [stdout] 64 | fn multiply(m: &DMatrix, n: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `subtract` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:86:4 [INFO] [stdout] | [INFO] [stdout] 86 | fn subtract(m: &DMatrix, n: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `add` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:89:4 [INFO] [stdout] | [INFO] [stdout] 89 | fn add(m: &DMatrix, n: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `scale` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:92:4 [INFO] [stdout] | [INFO] [stdout] 92 | fn scale(s: f64, m: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `binary_cross_entropy_loss` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:95:4 [INFO] [stdout] | [INFO] [stdout] 95 | fn binary_cross_entropy_loss(predicted: &DMatrix, actual: &DMatrix) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `mean_squared_error` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:107:4 [INFO] [stdout] | [INFO] [stdout] 107 | fn mean_squared_error(predicted: &DMatrix, actual: &DMatrix) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 19.99s [INFO] [stdout] warning: variant `gelu` should have an upper camel case name [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | gelu, [INFO] [stdout] | ^^^^ help: convert the identifier to upper camel case: `Gelu` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_camel_case_types)]` (part of `#[warn(nonstandard_style)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `zero` [INFO] [stdout] --> src/neuronal_net/neuronal_net.rs:3:10 [INFO] [stdout] | [INFO] [stdout] 3 | use na::{zero, DMatrix}; [INFO] [stdout] | ^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:56:13 [INFO] [stdout] | [INFO] [stdout] 56 | let mut delta_output = subtract(&prediction, &expected_output); [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: unused variable: `config` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:48:88 [INFO] [stdout] | [INFO] [stdout] 48 | pub fn back_propagation(&self, input: DMatrix, expected_output: DMatrix, config: NeuralNetConfig) { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_config` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `error` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:54:13 [INFO] [stdout] | [INFO] [stdout] 54 | let error = binary_cross_entropy_loss(&prediction, &expected_output); [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_error` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `delta_output` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:56:13 [INFO] [stdout] | [INFO] [stdout] 56 | let mut delta_output = subtract(&prediction, &expected_output); [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_delta_output` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variants `LeakyReLU`, `Tanh`, `Softmax`, and `gelu` are never constructed [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 3 | pub enum ActivationFunctions{ [INFO] [stdout] | ------------------- variants in this enum [INFO] [stdout] ... [INFO] [stdout] 6 | LeakyReLU, [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] 7 | Tanh, [INFO] [stdout] | ^^^^ [INFO] [stdout] 8 | Softmax, [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] 9 | gelu, [INFO] [stdout] | ^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `ActivationFunctions` 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: struct `ActivationFunction` is never constructed [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:11:12 [INFO] [stdout] | [INFO] [stdout] 11 | pub struct ActivationFunction{} [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `derivative` is never used [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:24:12 [INFO] [stdout] | [INFO] [stdout] 12 | impl ActivationFunctions { [INFO] [stdout] | ------------------------ method in this implementation [INFO] [stdout] ... [INFO] [stdout] 24 | pub fn derivative(&self, x: f64) -> f64 { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `sigmoid_prime` is never used [INFO] [stdout] --> src/neuronal_net/types_of_activation.rs:39:4 [INFO] [stdout] | [INFO] [stdout] 39 | fn sigmoid_prime(x: f64) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: fields `num_epochs` and `learning_rate` are never read [INFO] [stdout] --> src/neuronal_net/neuronal_net.rs:21:9 [INFO] [stdout] | [INFO] [stdout] 20 | pub struct NeuralNetConfig { [INFO] [stdout] | --------------- fields in this struct [INFO] [stdout] 21 | pub num_epochs: i64, [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] 22 | pub learning_rate: f64, [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `NeuralNetConfig` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `config` is never read [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:13:9 [INFO] [stdout] | [INFO] [stdout] 6 | pub struct NeuralNetCompiled { [INFO] [stdout] | ----------------- field in this struct [INFO] [stdout] ... [INFO] [stdout] 13 | pub config: NeuralNetConfig, [INFO] [stdout] | ^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `NeuralNetCompiled` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `train` and `back_propagation` are never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:16:12 [INFO] [stdout] | [INFO] [stdout] 15 | impl NeuralNetCompiled { [INFO] [stdout] | ---------------------- associated items in this implementation [INFO] [stdout] 16 | pub fn train() {} [INFO] [stdout] | ^^^^^ [INFO] [stdout] ... [INFO] [stdout] 48 | pub fn back_propagation(&self, input: DMatrix, expected_output: DMatrix, config: NeuralNetConfig) { [INFO] [stdout] | ^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `multiply` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:64:4 [INFO] [stdout] | [INFO] [stdout] 64 | fn multiply(m: &DMatrix, n: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `subtract` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:86:4 [INFO] [stdout] | [INFO] [stdout] 86 | fn subtract(m: &DMatrix, n: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `add` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:89:4 [INFO] [stdout] | [INFO] [stdout] 89 | fn add(m: &DMatrix, n: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `scale` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:92:4 [INFO] [stdout] | [INFO] [stdout] 92 | fn scale(s: f64, m: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `binary_cross_entropy_loss` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:95:4 [INFO] [stdout] | [INFO] [stdout] 95 | fn binary_cross_entropy_loss(predicted: &DMatrix, actual: &DMatrix) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `mean_squared_error` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:107:4 [INFO] [stdout] | [INFO] [stdout] 107 | fn mean_squared_error(predicted: &DMatrix, actual: &DMatrix) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] running `Command { std: "docker" "inspect" "dc17946bed96b6355effe4356a56482314b22ad297a412dea7fdf08e75850929", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "dc17946bed96b6355effe4356a56482314b22ad297a412dea7fdf08e75850929", kill_on_drop: false }` [INFO] [stdout] dc17946bed96b6355effe4356a56482314b22ad297a412dea7fdf08e75850929