[INFO] cloning repository https://github.com/mariusdanciu/rust_nn
[INFO] running `"git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/mariusdanciu/rust_nn" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmariusdanciu%2Frust_nn"`
[INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmariusdanciu%2Frust_nn'...
[INFO] running `"git" "rev-parse" "HEAD"`
[INFO] [stdout] 12918c5094ebc0b84b1049c93bfc3b3dac2f1c5a
[INFO] checking mariusdanciu/rust_nn against try#e922e6444795ab795fab1943288aee3d543699b8 for pr-66852
[INFO] running `"git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmariusdanciu%2Frust_nn" "/workspace/builds/worker-0/source"`
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[INFO] [stderr] done.
[INFO] validating manifest of git repo https://github.com/mariusdanciu/rust_nn on toolchain e922e6444795ab795fab1943288aee3d543699b8
[INFO] running `"/workspace/cargo-home/bin/cargo" "+e922e6444795ab795fab1943288aee3d543699b8" "read-manifest" "--manifest-path" "Cargo.toml"`
[INFO] started tweaking git repo https://github.com/mariusdanciu/rust_nn
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[INFO] crate git repo https://github.com/mariusdanciu/rust_nn already has a lockfile, it will not be regenerated
[INFO] running `"/workspace/cargo-home/bin/cargo" "+e922e6444795ab795fab1943288aee3d543699b8" "fetch" "--locked" "--manifest-path" "Cargo.toml"`
[INFO] running `"docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0/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" "MAP_USER_ID=0" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--network" "none" "rustops/crates-build-env" "/opt/rustwide/cargo-home/bin/cargo" "+e922e6444795ab795fab1943288aee3d543699b8" "check" "--frozen" "--all" "--all-targets"`
[INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap.
[INFO] [stdout] 59bc7ed0d01cf400d7c16668186e8985ebb8df5295e5fdbd30ba956acceff8c9
[INFO] running `"docker" "start" "-a" "59bc7ed0d01cf400d7c16668186e8985ebb8df5295e5fdbd30ba956acceff8c9"`
[INFO] [stderr]    Compiling num-complex v0.2.3
[INFO] [stderr]    Compiling num-rational v0.2.2
[INFO] [stderr]    Compiling num-traits v0.2.8
[INFO] [stderr]     Checking generic-array v0.13.2
[INFO] [stderr]     Checking rand_chacha v0.2.1
[INFO] [stderr]     Checking rand v0.7.2
[INFO] [stderr]     Checking num-integer v0.1.41
[INFO] [stderr]     Checking approx v0.3.2
[INFO] [stderr]     Checking alga v0.9.2
[INFO] [stderr]     Checking rand_distr v0.2.2
[INFO] [stderr]     Checking nalgebra v0.19.0
[INFO] [stderr]     Checking nn v0.1.0 (/opt/rustwide/workdir)
[INFO] [stderr] warning: unused import: `std::f64::EPSILON`
[INFO] [stderr]  --> src/neunet/definitions.rs:1:5
[INFO] [stderr]   |
[INFO] [stderr] 1 | use std::f64::EPSILON;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(unused_imports)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: variant `stochastic_gradient_descent` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:69:5
[INFO] [stderr]    |
[INFO] [stderr] 69 |     stochastic_gradient_descent,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^ help: convert the identifier to upper camel case: `StochasticGradientDescent`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(non_camel_case_types)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: variant `batch_gradient_descent` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:70:5
[INFO] [stderr]    |
[INFO] [stderr] 70 |     batch_gradient_descent,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^ help: convert the identifier to upper camel case: `BatchGradientDescent`
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `std::f64::EPSILON`
[INFO] [stderr]  --> src/neunet/definitions.rs:1:5
[INFO] [stderr]   |
[INFO] [stderr] 1 | use std::f64::EPSILON;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(unused_imports)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: variant `stochastic_gradient_descent` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:69:5
[INFO] [stderr]    |
[INFO] [stderr] 69 |     stochastic_gradient_descent,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^ help: convert the identifier to upper camel case: `StochasticGradientDescent`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(non_camel_case_types)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: variant `batch_gradient_descent` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:70:5
[INFO] [stderr]    |
[INFO] [stderr] 70 |     batch_gradient_descent,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^ help: convert the identifier to upper camel case: `BatchGradientDescent`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `adam` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:71:5
[INFO] [stderr]    |
[INFO] [stderr] 71 |     adam,
[INFO] [stderr]    |     ^^^^ help: convert the identifier to upper camel case: `Adam`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `sigmoid` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:75:5
[INFO] [stderr]    |
[INFO] [stderr] 75 |     sigmoid,
[INFO] [stderr]    |     ^^^^^^^ help: convert the identifier to upper camel case (notice the capitalization): `Sigmoid`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `adam` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:71:5
[INFO] [stderr]    |
[INFO] [stderr] 71 |     adam,
[INFO] [stderr]    |     ^^^^ help: convert the identifier to upper camel case: `Adam`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `sigmoid` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:75:5
[INFO] [stderr]    |
[INFO] [stderr] 75 |     sigmoid,
[INFO] [stderr]    |     ^^^^^^^ help: convert the identifier to upper camel case (notice the capitalization): `Sigmoid`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `relu` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:76:5
[INFO] [stderr]    |
[INFO] [stderr] 76 |     relu,
[INFO] [stderr]    |     ^^^^ help: convert the identifier to upper camel case: `Relu`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `relu` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:76:5
[INFO] [stderr]    |
[INFO] [stderr] 76 |     relu,
[INFO] [stderr]    |     ^^^^ help: convert the identifier to upper camel case: `Relu`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `tanh` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:77:5
[INFO] [stderr]    |
[INFO] [stderr] 77 |     tanh,
[INFO] [stderr]    |     ^^^^ help: convert the identifier to upper camel case: `Tanh`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `tanh` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:77:5
[INFO] [stderr]    |
[INFO] [stderr] 77 |     tanh,
[INFO] [stderr]    |     ^^^^ help: convert the identifier to upper camel case: `Tanh`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `soft_max` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:78:5
[INFO] [stderr]    |
[INFO] [stderr] 78 |     soft_max,
[INFO] [stderr]    |     ^^^^^^^^ help: convert the identifier to upper camel case: `SoftMax`
[INFO] [stderr] 
[INFO] [stderr] warning: variant `soft_max` should have an upper camel case name
[INFO] [stderr]   --> src/neunet/definitions.rs:78:5
[INFO] [stderr]    |
[INFO] [stderr] 78 |     soft_max,
[INFO] [stderr]    |     ^^^^^^^^ help: convert the identifier to upper camel case: `SoftMax`
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:41:17
[INFO] [stderr]    |
[INFO] [stderr] 39 |                 sigmoid =>
[INFO] [stderr]    |                 ------- matches any value
[INFO] [stderr] 40 |                     MLOps::vectorize(t, MLOps::sigmoid),
[INFO] [stderr] 41 |                 relu =>
[INFO] [stderr]    |                 ^^^^ unreachable pattern
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unreachable_patterns)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:43:17
[INFO] [stderr]    |
[INFO] [stderr] 39 |                 sigmoid =>
[INFO] [stderr]    |                 ------- matches any value
[INFO] [stderr] ...
[INFO] [stderr] 43 |                 tanh =>
[INFO] [stderr]    |                 ^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:45:17
[INFO] [stderr]    |
[INFO] [stderr] 39 |                 sigmoid =>
[INFO] [stderr]    |                 ------- matches any value
[INFO] [stderr] ...
[INFO] [stderr] 45 |                 soft_max =>
[INFO] [stderr]    |                 ^^^^^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:65:17
[INFO] [stderr]    |
[INFO] [stderr] 64 |                 relu => MLOps::vectorize(&self.layers[k].outs, MLOps::relu_derivative),
[INFO] [stderr]    |                 ---- matches any value
[INFO] [stderr] 65 |                 sigmoid => MLOps::vectorize(&self.layers[k].outs, MLOps::sigmoid_derivative),
[INFO] [stderr]    |                 ^^^^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:66:17
[INFO] [stderr]    |
[INFO] [stderr] 64 |                 relu => MLOps::vectorize(&self.layers[k].outs, MLOps::relu_derivative),
[INFO] [stderr]    |                 ---- matches any value
[INFO] [stderr] 65 |                 sigmoid => MLOps::vectorize(&self.layers[k].outs, MLOps::sigmoid_derivative),
[INFO] [stderr] 66 |                 tanh => MLOps::vectorize(&self.layers[k].outs, MLOps::tanh_derivative),
[INFO] [stderr]    |                 ^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:67:17
[INFO] [stderr]    |
[INFO] [stderr] 64 |                 relu => MLOps::vectorize(&self.layers[k].outs, MLOps::relu_derivative),
[INFO] [stderr]    |                 ---- matches any value
[INFO] [stderr] ...
[INFO] [stderr] 67 |                 soft_max => MLOps::soft_max_derivative(&self.layers[k].outs),
[INFO] [stderr]    |                 ^^^^^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `magic`
[INFO] [stderr]   --> src/neunet/files/idx.rs:15:13
[INFO] [stderr]    |
[INFO] [stderr] 15 |         let magic = BinaryOps::to_u32(&buf[0..4]);
[INFO] [stderr]    |             ^^^^^ help: consider prefixing with an underscore: `_magic`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_variables)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `buf`
[INFO] [stderr]   --> src/neunet/files/idx.rs:49:14
[INFO] [stderr]    |
[INFO] [stderr] 49 |         let  buf: [u8; 8] = [0; 8];
[INFO] [stderr]    |              ^^^ help: consider prefixing with an underscore: `_buf`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `read_bytes`
[INFO] [stderr]   --> src/neunet/files/idx.rs:58:13
[INFO] [stderr]    |
[INFO] [stderr] 58 |         let read_bytes = data_reader.read_to_end(&mut out)?;
[INFO] [stderr]    |             ^^^^^^^^^^ help: consider prefixing with an underscore: `_read_bytes`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `sigmoid`
[INFO] [stderr]   --> src/neunet/optimization.rs:39:17
[INFO] [stderr]    |
[INFO] [stderr] 39 |                 sigmoid =>
[INFO] [stderr]    |                 ^^^^^^^ help: consider prefixing with an underscore: `_sigmoid`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `relu`
[INFO] [stderr]   --> src/neunet/optimization.rs:41:17
[INFO] [stderr]    |
[INFO] [stderr] 41 |                 relu =>
[INFO] [stderr]    |                 ^^^^ help: consider prefixing with an underscore: `_relu`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `tanh`
[INFO] [stderr]   --> src/neunet/optimization.rs:43:17
[INFO] [stderr]    |
[INFO] [stderr] 43 |                 tanh =>
[INFO] [stderr]    |                 ^^^^ help: consider prefixing with an underscore: `_tanh`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `soft_max`
[INFO] [stderr]   --> src/neunet/optimization.rs:45:17
[INFO] [stderr]    |
[INFO] [stderr] 45 |                 soft_max =>
[INFO] [stderr]    |                 ^^^^^^^^ help: consider prefixing with an underscore: `_soft_max`
[INFO] [stderr] 
[INFO] [stderr] warning: variable `current` is assigned to, but never used
[INFO] [stderr]   --> src/neunet/optimization.rs:58:17
[INFO] [stderr]    |
[INFO] [stderr] 58 |         let mut current = &self.layers[len - 1];
[INFO] [stderr]    |                 ^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: consider using `_current` instead
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `relu`
[INFO] [stderr]   --> src/neunet/optimization.rs:64:17
[INFO] [stderr]    |
[INFO] [stderr] 64 |                 relu => MLOps::vectorize(&self.layers[k].outs, MLOps::relu_derivative),
[INFO] [stderr]    |                 ^^^^ help: consider prefixing with an underscore: `_relu`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `sigmoid`
[INFO] [stderr]   --> src/neunet/optimization.rs:65:17
[INFO] [stderr]    |
[INFO] [stderr] 65 |                 sigmoid => MLOps::vectorize(&self.layers[k].outs, MLOps::sigmoid_derivative),
[INFO] [stderr]    |                 ^^^^^^^ help: consider prefixing with an underscore: `_sigmoid`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `tanh`
[INFO] [stderr]   --> src/neunet/optimization.rs:66:17
[INFO] [stderr]    |
[INFO] [stderr] 66 |                 tanh => MLOps::vectorize(&self.layers[k].outs, MLOps::tanh_derivative),
[INFO] [stderr]    |                 ^^^^ help: consider prefixing with an underscore: `_tanh`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `soft_max`
[INFO] [stderr]   --> src/neunet/optimization.rs:67:17
[INFO] [stderr]    |
[INFO] [stderr] 67 |                 soft_max => MLOps::soft_max_derivative(&self.layers[k].outs),
[INFO] [stderr]    |                 ^^^^^^^^ help: consider prefixing with an underscore: `_soft_max`
[INFO] [stderr] 
[INFO] [stderr] warning: value assigned to `current` is never read
[INFO] [stderr]   --> src/neunet/optimization.rs:72:13
[INFO] [stderr]    |
[INFO] [stderr] 72 |             current = &self.layers[k];
[INFO] [stderr]    |             ^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_assignments)]` on by default
[INFO] [stderr]    = help: maybe it is overwritten before being read?
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `loss`
[INFO] [stderr]   --> src/neunet/definitions.rs:58:5
[INFO] [stderr]    |
[INFO] [stderr] 58 |     pub fn loss(y: f64, w: &DVector<f64>, x: &DVectorSlice<f64>, b: f64) -> f64 {
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(dead_code)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: enum is never used: `OptimizationType`
[INFO] [stderr]   --> src/neunet/definitions.rs:68:10
[INFO] [stderr]    |
[INFO] [stderr] 68 | pub enum OptimizationType {
[INFO] [stderr]    |          ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variant is never constructed: `relu`
[INFO] [stderr]   --> src/neunet/definitions.rs:76:5
[INFO] [stderr]    |
[INFO] [stderr] 76 |     relu,
[INFO] [stderr]    |     ^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variant is never constructed: `tanh`
[INFO] [stderr]   --> src/neunet/definitions.rs:77:5
[INFO] [stderr]    |
[INFO] [stderr] 77 |     tanh,
[INFO] [stderr]    |     ^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variant is never constructed: `soft_max`
[INFO] [stderr]   --> src/neunet/definitions.rs:78:5
[INFO] [stderr]    |
[INFO] [stderr] 78 |     soft_max,
[INFO] [stderr]    |     ^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: field is never read: `weights`
[INFO] [stderr]   --> src/neunet/optimization.rs:24:5
[INFO] [stderr]    |
[INFO] [stderr] 24 |     weights: DVector<f64>,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: field is never read: `intercepts`
[INFO] [stderr]   --> src/neunet/optimization.rs:25:5
[INFO] [stderr]    |
[INFO] [stderr] 25 |     intercepts: DVector<f64>,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variable `dJ` should have a snake case name
[INFO] [stderr]   --> src/neunet/optimization.rs:60:17
[INFO] [stderr]    |
[INFO] [stderr] 60 |         let mut dJ = inputs - labels;
[INFO] [stderr]    |                 ^^ help: convert the identifier to snake case: `d_j`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(non_snake_case)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:41:17
[INFO] [stderr]    |
[INFO] [stderr] 39 |                 sigmoid =>
[INFO] [stderr]    |                 ------- matches any value
[INFO] [stderr] 40 |                     MLOps::vectorize(t, MLOps::sigmoid),
[INFO] [stderr] 41 |                 relu =>
[INFO] [stderr]    |                 ^^^^ unreachable pattern
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unreachable_patterns)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:43:17
[INFO] [stderr]    |
[INFO] [stderr] 39 |                 sigmoid =>
[INFO] [stderr]    |                 ------- matches any value
[INFO] [stderr] ...
[INFO] [stderr] 43 |                 tanh =>
[INFO] [stderr]    |                 ^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:45:17
[INFO] [stderr]    |
[INFO] [stderr] 39 |                 sigmoid =>
[INFO] [stderr]    |                 ------- matches any value
[INFO] [stderr] ...
[INFO] [stderr] 45 |                 soft_max =>
[INFO] [stderr]    |                 ^^^^^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:65:17
[INFO] [stderr]    |
[INFO] [stderr] 64 |                 relu => MLOps::vectorize(&self.layers[k].outs, MLOps::relu_derivative),
[INFO] [stderr]    |                 ---- matches any value
[INFO] [stderr] 65 |                 sigmoid => MLOps::vectorize(&self.layers[k].outs, MLOps::sigmoid_derivative),
[INFO] [stderr]    |                 ^^^^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:66:17
[INFO] [stderr]    |
[INFO] [stderr] 64 |                 relu => MLOps::vectorize(&self.layers[k].outs, MLOps::relu_derivative),
[INFO] [stderr]    |                 ---- matches any value
[INFO] [stderr] 65 |                 sigmoid => MLOps::vectorize(&self.layers[k].outs, MLOps::sigmoid_derivative),
[INFO] [stderr] 66 |                 tanh => MLOps::vectorize(&self.layers[k].outs, MLOps::tanh_derivative),
[INFO] [stderr]    |                 ^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unreachable pattern
[INFO] [stderr]   --> src/neunet/optimization.rs:67:17
[INFO] [stderr]    |
[INFO] [stderr] 64 |                 relu => MLOps::vectorize(&self.layers[k].outs, MLOps::relu_derivative),
[INFO] [stderr]    |                 ---- matches any value
[INFO] [stderr] ...
[INFO] [stderr] 67 |                 soft_max => MLOps::soft_max_derivative(&self.layers[k].outs),
[INFO] [stderr]    |                 ^^^^^^^^ unreachable pattern
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `magic`
[INFO] [stderr]   --> src/neunet/files/idx.rs:15:13
[INFO] [stderr]    |
[INFO] [stderr] 15 |         let magic = BinaryOps::to_u32(&buf[0..4]);
[INFO] [stderr]    |             ^^^^^ help: consider prefixing with an underscore: `_magic`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_variables)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `buf`
[INFO] [stderr]   --> src/neunet/files/idx.rs:49:14
[INFO] [stderr]    |
[INFO] [stderr] 49 |         let  buf: [u8; 8] = [0; 8];
[INFO] [stderr]    |              ^^^ help: consider prefixing with an underscore: `_buf`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `read_bytes`
[INFO] [stderr]   --> src/neunet/files/idx.rs:58:13
[INFO] [stderr]    |
[INFO] [stderr] 58 |         let read_bytes = data_reader.read_to_end(&mut out)?;
[INFO] [stderr]    |             ^^^^^^^^^^ help: consider prefixing with an underscore: `_read_bytes`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `sigmoid`
[INFO] [stderr]   --> src/neunet/optimization.rs:39:17
[INFO] [stderr]    |
[INFO] [stderr] 39 |                 sigmoid =>
[INFO] [stderr]    |                 ^^^^^^^ help: consider prefixing with an underscore: `_sigmoid`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `relu`
[INFO] [stderr]   --> src/neunet/optimization.rs:41:17
[INFO] [stderr]    |
[INFO] [stderr] 41 |                 relu =>
[INFO] [stderr]    |                 ^^^^ help: consider prefixing with an underscore: `_relu`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `tanh`
[INFO] [stderr]   --> src/neunet/optimization.rs:43:17
[INFO] [stderr]    |
[INFO] [stderr] 43 |                 tanh =>
[INFO] [stderr]    |                 ^^^^ help: consider prefixing with an underscore: `_tanh`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `soft_max`
[INFO] [stderr]   --> src/neunet/optimization.rs:45:17
[INFO] [stderr]    |
[INFO] [stderr] 45 |                 soft_max =>
[INFO] [stderr]    |                 ^^^^^^^^ help: consider prefixing with an underscore: `_soft_max`
[INFO] [stderr] 
[INFO] [stderr] warning: variable `current` is assigned to, but never used
[INFO] [stderr]   --> src/neunet/optimization.rs:58:17
[INFO] [stderr]    |
[INFO] [stderr] 58 |         let mut current = &self.layers[len - 1];
[INFO] [stderr]    |                 ^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: consider using `_current` instead
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `relu`
[INFO] [stderr]   --> src/neunet/optimization.rs:64:17
[INFO] [stderr]    |
[INFO] [stderr] 64 |                 relu => MLOps::vectorize(&self.layers[k].outs, MLOps::relu_derivative),
[INFO] [stderr]    |                 ^^^^ help: consider prefixing with an underscore: `_relu`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `sigmoid`
[INFO] [stderr]   --> src/neunet/optimization.rs:65:17
[INFO] [stderr]    |
[INFO] [stderr] 65 |                 sigmoid => MLOps::vectorize(&self.layers[k].outs, MLOps::sigmoid_derivative),
[INFO] [stderr]    |                 ^^^^^^^ help: consider prefixing with an underscore: `_sigmoid`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `tanh`
[INFO] [stderr]   --> src/neunet/optimization.rs:66:17
[INFO] [stderr]    |
[INFO] [stderr] 66 |                 tanh => MLOps::vectorize(&self.layers[k].outs, MLOps::tanh_derivative),
[INFO] [stderr]    |                 ^^^^ help: consider prefixing with an underscore: `_tanh`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `soft_max`
[INFO] [stderr]   --> src/neunet/optimization.rs:67:17
[INFO] [stderr]    |
[INFO] [stderr] 67 |                 soft_max => MLOps::soft_max_derivative(&self.layers[k].outs),
[INFO] [stderr]    |                 ^^^^^^^^ help: consider prefixing with an underscore: `_soft_max`
[INFO] [stderr] 
[INFO] [stderr] warning: value assigned to `current` is never read
[INFO] [stderr]   --> src/neunet/optimization.rs:72:13
[INFO] [stderr]    |
[INFO] [stderr] 72 |             current = &self.layers[k];
[INFO] [stderr]    |             ^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_assignments)]` on by default
[INFO] [stderr]    = help: maybe it is overwritten before being read?
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `loss`
[INFO] [stderr]   --> src/neunet/definitions.rs:58:5
[INFO] [stderr]    |
[INFO] [stderr] 58 |     pub fn loss(y: f64, w: &DVector<f64>, x: &DVectorSlice<f64>, b: f64) -> f64 {
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(dead_code)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: enum is never used: `OptimizationType`
[INFO] [stderr]   --> src/neunet/definitions.rs:68:10
[INFO] [stderr]    |
[INFO] [stderr] 68 | pub enum OptimizationType {
[INFO] [stderr]    |          ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variant is never constructed: `relu`
[INFO] [stderr]   --> src/neunet/definitions.rs:76:5
[INFO] [stderr]    |
[INFO] [stderr] 76 |     relu,
[INFO] [stderr]    |     ^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variant is never constructed: `tanh`
[INFO] [stderr]   --> src/neunet/definitions.rs:77:5
[INFO] [stderr]    |
[INFO] [stderr] 77 |     tanh,
[INFO] [stderr]    |     ^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variant is never constructed: `soft_max`
[INFO] [stderr]   --> src/neunet/definitions.rs:78:5
[INFO] [stderr]    |
[INFO] [stderr] 78 |     soft_max,
[INFO] [stderr]    |     ^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: field is never read: `weights`
[INFO] [stderr]   --> src/neunet/optimization.rs:24:5
[INFO] [stderr]    |
[INFO] [stderr] 24 |     weights: DVector<f64>,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: field is never read: `intercepts`
[INFO] [stderr]   --> src/neunet/optimization.rs:25:5
[INFO] [stderr]    |
[INFO] [stderr] 25 |     intercepts: DVector<f64>,
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variable `dJ` should have a snake case name
[INFO] [stderr]   --> src/neunet/optimization.rs:60:17
[INFO] [stderr]    |
[INFO] [stderr] 60 |         let mut dJ = inputs - labels;
[INFO] [stderr]    |                 ^^ help: convert the identifier to snake case: `d_j`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(non_snake_case)]` on by default
[INFO] [stderr] 
[INFO] [stderr]     Finished dev [unoptimized + debuginfo] target(s) in 50.37s
[INFO] running `"docker" "inspect" "59bc7ed0d01cf400d7c16668186e8985ebb8df5295e5fdbd30ba956acceff8c9"`
[INFO] running `"docker" "rm" "-f" "59bc7ed0d01cf400d7c16668186e8985ebb8df5295e5fdbd30ba956acceff8c9"`
[INFO] [stdout] 59bc7ed0d01cf400d7c16668186e8985ebb8df5295e5fdbd30ba956acceff8c9