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[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: 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<f64>, expected_output: DMatrix<f64>, 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<f64>, expected_output: DMatrix<f64>, 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<f64>, n: &DMatrix<f64>) -> DMatrix<f64> {
[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<f64>, n: &DMatrix<f64>) -> DMatrix<f64> {
[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<f64>, n: &DMatrix<f64>) -> DMatrix<f64> {
[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<f64>) -> DMatrix<f64> {
[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<f64>, actual: &DMatrix<f64>) -> 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<f64>, actual: &DMatrix<f64>) -> f64 {
[INFO] [stdout]     |    ^^^^^^^^^^^^^^^^^^
[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<f64>, expected_output: DMatrix<f64>, 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<f64>, expected_output: DMatrix<f64>, 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<f64>, n: &DMatrix<f64>) -> DMatrix<f64> {
[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<f64>, n: &DMatrix<f64>) -> DMatrix<f64> {
[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<f64>, n: &DMatrix<f64>) -> DMatrix<f64> {
[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<f64>) -> DMatrix<f64> {
[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<f64>, actual: &DMatrix<f64>) -> 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<f64>, actual: &DMatrix<f64>) -> f64 {
[INFO] [stdout]     |    ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 16.34s
[INFO] running `Command { std: "docker" "inspect" "c64dc83ce2d119d4aca7c5dc731713b4de5cd24b91ab00c712afb97d78e057c7", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "c64dc83ce2d119d4aca7c5dc731713b4de5cd24b91ab00c712afb97d78e057c7", kill_on_drop: false }`
[INFO] [stdout] c64dc83ce2d119d4aca7c5dc731713b4de5cd24b91ab00c712afb97d78e057c7
