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[INFO] [stderr] Downloaded wasm-bindgen-macro v0.2.125 [INFO] [stderr] Downloaded plotters-bitmap v0.3.7 [INFO] [stderr] Downloaded wasm-bindgen-shared v0.2.125 [INFO] [stderr] Downloaded wasm-bindgen v0.2.125 [INFO] [stderr] Downloaded bytemuck v1.22.0 [INFO] [stderr] Downloaded zerocopy-derive v0.8.23 [INFO] [stderr] Downloaded rand v0.9.0 [INFO] [stderr] Downloaded font-kit v0.14.3 [INFO] [stderr] Downloaded wasm-bindgen-macro-support v0.2.125 [INFO] [stderr] Downloaded js-sys v0.3.102 [INFO] [stderr] Downloaded zerocopy v0.8.23 [INFO] [stderr] Downloaded nalgebra v0.33.2 [INFO] [stderr] Downloaded web-sys v0.3.102 [INFO] [stderr] Downloaded jpeg-decoder v0.3.2 [INFO] [stderr] Downloaded gif v0.12.0 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/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@sha256:3a6becf2bc8dde7f3fa57ede90e4f284e72d296796fc446bbb1e2c7cc0530151" "sleep" "infinity", kill_on_drop: false }` [INFO] [stdout] e803a8303e32eb50570243c3d3b9e1dd308b58c5ceff5449f1c0c0ab4caabcff [INFO] running `Command { std: "docker" "start" "e803a8303e32eb50570243c3d3b9e1dd308b58c5ceff5449f1c0c0ab4caabcff", 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" "e803a8303e32eb50570243c3d3b9e1dd308b58c5ceff5449f1c0c0ab4caabcff" "/opt/rustwide/cargo-home/bin/cargo" "+fffed276b51cf514622e8d3109d620501cc01670" "metadata" 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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: unnecessary parentheses around function argument [INFO] [stdout] --> src/main.rs:31:78 [INFO] [stdout] | [INFO] [stdout] 31 | let expected_output_farenheit = train_input_celsius.iter().map(|x| scale((9.0/5.0 + 32.0),x)).collect::>>(); //... [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 31 - let expected_output_farenheit = train_input_celsius.iter().map(|x| scale((9.0/5.0 + 32.0),x)).collect::>>(); // Ejemplo de salida esperada [INFO] [stdout] 31 + let expected_output_farenheit = train_input_celsius.iter().map(|x| scale(9.0/5.0 + 32.0 ,x)).collect::>>(); // Ejemplo de salida esperada [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [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: unnecessary parentheses around function argument [INFO] [stdout] --> src/main.rs:31:78 [INFO] [stdout] | [INFO] [stdout] 31 | let expected_output_farenheit = train_input_celsius.iter().map(|x| scale((9.0/5.0 + 32.0),x)).collect::>>(); //... [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 31 - let expected_output_farenheit = train_input_celsius.iter().map(|x| scale((9.0/5.0 + 32.0),x)).collect::>>(); // Ejemplo de salida esperada [INFO] [stdout] 31 + let expected_output_farenheit = train_input_celsius.iter().map(|x| scale(9.0/5.0 + 32.0 ,x)).collect::>>(); // Ejemplo de salida esperada [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `activations` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:25:14 [INFO] [stdout] | [INFO] [stdout] 25 | let (activations, zs, predicted_output) = self.forward_pass(&input); [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_activations` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:27:13 [INFO] [stdout] | [INFO] [stdout] 27 | let learning_rate = if config.learning_rate > 0.0 { [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_size` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:33:13 [INFO] [stdout] | [INFO] [stdout] 33 | let batch_size = expected_output.ncols().max(1) as f64; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `output_z` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:35:13 [INFO] [stdout] | [INFO] [stdout] 35 | let output_z = zs.last().expect("Se esperaba al menos una capa de salida"); [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_output_z` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `activations` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:25:14 [INFO] [stdout] | [INFO] [stdout] 25 | let (activations, zs, predicted_output) = self.forward_pass(&input); [INFO] [stdout] | ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_activations` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:27:13 [INFO] [stdout] | [INFO] [stdout] 27 | let learning_rate = if config.learning_rate > 0.0 { [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_size` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:33:13 [INFO] [stdout] | [INFO] [stdout] 33 | let batch_size = expected_output.ncols().max(1) as f64; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `output_z` [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:35:13 [INFO] [stdout] | [INFO] [stdout] 35 | let output_z = zs.last().expect("Se esperaba al menos una capa de salida"); [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_output_z` [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: associated function `train` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:16:12 [INFO] [stdout] | [INFO] [stdout] 15 | impl NeuralNetCompiled { [INFO] [stdout] | ---------------------- associated function in this implementation [INFO] [stdout] 16 | pub fn train() { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `multiply` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:65:4 [INFO] [stdout] | [INFO] [stdout] 65 | 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:87:4 [INFO] [stdout] | [INFO] [stdout] 87 | 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:90:4 [INFO] [stdout] | [INFO] [stdout] 90 | fn add(m: &DMatrix, n: &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:96:4 [INFO] [stdout] | [INFO] [stdout] 96 | fn binary_cross_entropy_loss(predicted: &DMatrix, actual: &DMatrix) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `activation_derivative_matrix` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:114:4 [INFO] [stdout] | [INFO] [stdout] 114 | fn activation_derivative_matrix(activation: &ActivationFunctions, matrix: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `subtract_dismatch` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:117:4 [INFO] [stdout] | [INFO] [stdout] 117 | fn subtract_dismatch(m: &DMatrix, n: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [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: associated function `train` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:16:12 [INFO] [stdout] | [INFO] [stdout] 15 | impl NeuralNetCompiled { [INFO] [stdout] | ---------------------- associated function in this implementation [INFO] [stdout] 16 | pub fn train() { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `multiply` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:65:4 [INFO] [stdout] | [INFO] [stdout] 65 | 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:87:4 [INFO] [stdout] | [INFO] [stdout] 87 | 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:90:4 [INFO] [stdout] | [INFO] [stdout] 90 | fn add(m: &DMatrix, n: &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:96:4 [INFO] [stdout] | [INFO] [stdout] 96 | fn binary_cross_entropy_loss(predicted: &DMatrix, actual: &DMatrix) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `activation_derivative_matrix` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:114:4 [INFO] [stdout] | [INFO] [stdout] 114 | fn activation_derivative_matrix(activation: &ActivationFunctions, matrix: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `subtract_dismatch` is never used [INFO] [stdout] --> src/neuronal_net/neural_net_compiled.rs:117:4 [INFO] [stdout] | [INFO] [stdout] 117 | fn subtract_dismatch(m: &DMatrix, n: &DMatrix) -> DMatrix { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 24.48s [INFO] running `Command { std: "docker" "inspect" "e803a8303e32eb50570243c3d3b9e1dd308b58c5ceff5449f1c0c0ab4caabcff", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "e803a8303e32eb50570243c3d3b9e1dd308b58c5ceff5449f1c0c0ab4caabcff", kill_on_drop: false }` [INFO] [stdout] e803a8303e32eb50570243c3d3b9e1dd308b58c5ceff5449f1c0c0ab4caabcff