[INFO] cloning repository https://github.com/maxjeffos/rust-neural-network-experiments
[INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/maxjeffos/rust-neural-network-experiments" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmaxjeffos%2Frust-neural-network-experiments", kill_on_drop: false }`
[INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmaxjeffos%2Frust-neural-network-experiments'...
[INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }`
[INFO] [stdout] c4c2539f42a371031368d45b92d7a75516ec12f0
[INFO] testing maxjeffos/rust-neural-network-experiments against try#0abe69e6c16114311cc2700e972492e64d69c28f for pr-154065
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmaxjeffos%2Frust-neural-network-experiments" "/workspace/builds/worker-1-tc2/source", kill_on_drop: false }`
[INFO] [stderr] Cloning into '/workspace/builds/worker-1-tc2/source'...
[INFO] [stderr] done.
[INFO] started tweaking git repo https://github.com/maxjeffos/rust-neural-network-experiments
[INFO] finished tweaking git repo https://github.com/maxjeffos/rust-neural-network-experiments
[INFO] tweaked toml for git repo https://github.com/maxjeffos/rust-neural-network-experiments written to /workspace/builds/worker-1-tc2/source/Cargo.toml
[INFO] validating manifest of git repo https://github.com/maxjeffos/rust-neural-network-experiments on toolchain 0abe69e6c16114311cc2700e972492e64d69c28f
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+0abe69e6c16114311cc2700e972492e64d69c28f" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate git repo https://github.com/maxjeffos/rust-neural-network-experiments 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" "+0abe69e6c16114311cc2700e972492e64d69c28f" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] [stderr] warning: virtual workspace defaulting to `resolver = "1"` despite one or more workspace members being on edition 2021 which implies `resolver = "2"`
[INFO] [stderr]   |
[INFO] [stderr]   = note: to keep the current resolver, specify `workspace.resolver = "1"` in the workspace root's manifest
[INFO] [stderr]   = note: to use the edition 2021 resolver, specify `workspace.resolver = "2"` in the workspace root's manifest
[INFO] [stderr]   = note: for more details see https://doc.rust-lang.org/cargo/reference/resolver.html#resolver-versions
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+0abe69e6c16114311cc2700e972492e64d69c28f" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] 755dfa808a643a5dd2012cfff968f71bb4b8780a5afca0015f6d577b7e08407c
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[INFO] running `Command { std: "docker" "inspect" "755dfa808a643a5dd2012cfff968f71bb4b8780a5afca0015f6d577b7e08407c", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "755dfa808a643a5dd2012cfff968f71bb4b8780a5afca0015f6d577b7e08407c", kill_on_drop: false }`
[INFO] [stdout] 755dfa808a643a5dd2012cfff968f71bb4b8780a5afca0015f6d577b7e08407c
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+0abe69e6c16114311cc2700e972492e64d69c28f" "build" "--frozen" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] a0caaad9819515c507f70597ce4740376dbed5152f67f8ef0dda6b8e4a3b9ea6
[INFO] running `Command { std: "docker" "start" "-a" "a0caaad9819515c507f70597ce4740376dbed5152f67f8ef0dda6b8e4a3b9ea6", kill_on_drop: false }`
[INFO] [stderr] warning: virtual workspace defaulting to `resolver = "1"` despite one or more workspace members being on edition 2021 which implies `resolver = "2"`
[INFO] [stderr]   |
[INFO] [stderr]   = note: to keep the current resolver, specify `workspace.resolver = "1"` in the workspace root's manifest
[INFO] [stderr]   = note: to use the edition 2021 resolver, specify `workspace.resolver = "2"` in the workspace root's manifest
[INFO] [stderr]   = note: for more details see https://doc.rust-lang.org/cargo/reference/resolver.html#resolver-versions
[INFO] [stderr]    Compiling libc v0.2.112
[INFO] [stderr]    Compiling libm v0.2.1
[INFO] [stderr]    Compiling num-traits v0.2.14
[INFO] [stderr]    Compiling crossbeam-utils v0.8.6
[INFO] [stderr]    Compiling memoffset v0.6.5
[INFO] [stderr]    Compiling crossbeam-epoch v0.9.6
[INFO] [stderr]    Compiling rayon-core v1.9.1
[INFO] [stderr]    Compiling ppv-lite86 v0.2.16
[INFO] [stderr]    Compiling rayon v1.5.1
[INFO] [stderr]    Compiling proc-macro2 v1.0.36
[INFO] [stderr]    Compiling either v1.6.1
[INFO] [stderr]    Compiling serde v1.0.136
[INFO] [stderr]    Compiling syn v1.0.85
[INFO] [stderr]    Compiling rawpointer v0.2.1
[INFO] [stderr]    Compiling serde_derive v1.0.136
[INFO] [stderr]    Compiling serde_json v1.0.78
[INFO] [stderr]    Compiling matrixmultiply v0.3.2
[INFO] [stderr]    Compiling mnist v0.5.0
[INFO] [stderr]    Compiling itoa v1.0.1
[INFO] [stderr]    Compiling ryu v1.0.9
[INFO] [stderr]    Compiling anyhow v1.0.82
[INFO] [stderr]    Compiling crossbeam-channel v0.5.2
[INFO] [stderr]    Compiling quote v1.0.14
[INFO] [stderr]    Compiling getrandom v0.2.4
[INFO] [stderr]    Compiling num_cpus v1.13.1
[INFO] [stderr]    Compiling rand_core v0.6.3
[INFO] [stderr]    Compiling crossbeam-deque v0.8.1
[INFO] [stderr]    Compiling rand_chacha v0.3.1
[INFO] [stderr]    Compiling rand v0.8.4
[INFO] [stderr]    Compiling num-complex v0.4.0
[INFO] [stderr]    Compiling num-integer v0.1.44
[INFO] [stderr]    Compiling autodiff v0.4.0
[INFO] [stderr]    Compiling rand_distr v0.4.2
[INFO] [stderr]    Compiling test1-autodiff v0.1.0 (/opt/rustwide/workdir/test1-autodiff)
[INFO] [stdout] warning: function `e_to_the_x` is never used
[INFO] [stdout]  --> test1-autodiff/src/main.rs:3:4
[INFO] [stdout]   |
[INFO] [stdout] 3 | fn e_to_the_x(x: FT<f64>) -> FT<f64> {
[INFO] [stdout]   |    ^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]    Compiling ndarray v0.15.4
[INFO] [stderr]    Compiling common v0.1.0 (/opt/rustwide/workdir/common)
[INFO] [stdout] warning: enum `Quadrant` is never used
[INFO] [stdout]  --> common/src/point.rs:7:6
[INFO] [stdout]   |
[INFO] [stdout] 7 | enum Quadrant {
[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 `softmax` is never used
[INFO] [stdout]  --> common/src/softmax.rs:1:4
[INFO] [stdout]   |
[INFO] [stdout] 1 | fn softmax(logits: &[f64]) -> Vec<f64> {
[INFO] [stdout]   |    ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `softmax_derivative` is never used
[INFO] [stdout]   --> common/src/softmax.rs:16:4
[INFO] [stdout]    |
[INFO] [stdout] 16 | fn softmax_derivative(logits: &[f64]) -> Vec<Vec<f64>> {
[INFO] [stdout]    |    ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: hiding a lifetime that's named elsewhere is confusing
[INFO] [stdout]    --> common/src/linalg/mod.rs:714:64
[INFO] [stdout]     |
[INFO] [stdout] 714 |     pub fn iter_with<'a>(&'a self, other: &'a ColumnVector) -> IterWith {
[INFO] [stdout]     |                           --               --                  ^^^^^^^^ the same lifetime is hidden here
[INFO] [stdout]     |                           |                |
[INFO] [stdout]     |                           |                the lifetime is named here
[INFO] [stdout]     |                           the lifetime is named here
[INFO] [stdout]     |
[INFO] [stdout]     = help: the same lifetime is referred to in inconsistent ways, making the signature confusing
[INFO] [stdout]     = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default
[INFO] [stdout] help: consistently use `'a`
[INFO] [stdout]     |
[INFO] [stdout] 714 |     pub fn iter_with<'a>(&'a self, other: &'a ColumnVector) -> IterWith<'a> {
[INFO] [stdout]     |                                                                        ++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]    Compiling test3-simple-linear-regression v0.1.0 (/opt/rustwide/workdir/test3-simple-linear-regression)
[INFO] [stderr]    Compiling test4-multivariable-regression v0.1.0 (/opt/rustwide/workdir/test4-multivariable-regression)
[INFO] [stderr]    Compiling test5-playing-with-matrix-ideas v0.1.0 (/opt/rustwide/workdir/test5-playing-with-matrix-ideas)
[INFO] [stdout] warning: enum `MultivariableRegressionError` is never used
[INFO] [stdout]   --> test4-multivariable-regression/src/main.rs:36:6
[INFO] [stdout]    |
[INFO] [stdout] 36 | enum MultivariableRegressionError {
[INFO] [stdout]    |      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: enum `InvalidDataError` is never used
[INFO] [stdout]   --> test4-multivariable-regression/src/main.rs:43:6
[INFO] [stdout]    |
[INFO] [stdout] 43 | enum InvalidDataError {
[INFO] [stdout]    |      ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `predict` is never used
[INFO] [stdout]   --> test4-multivariable-regression/src/main.rs:87:4
[INFO] [stdout]    |
[INFO] [stdout] 87 | fn predict(theta: &[f64], independant: &[f64]) -> f64 {
[INFO] [stdout]    |    ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]    Compiling mnist-data v0.1.0 (/opt/rustwide/workdir/mnist-data)
[INFO] [stderr]    Compiling test2-mlp-classifier v0.1.0 (/opt/rustwide/workdir/test2-mlp-classifier)
[INFO] [stdout] warning: variant `blue` should have an upper camel case name
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:59:5
[INFO] [stdout]    |
[INFO] [stdout] 59 |     blue,
[INFO] [stdout]    |     ^^^^ help: convert the identifier to upper camel case: `Blue`
[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: variant `orange` should have an upper camel case name
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:60:5
[INFO] [stdout]    |
[INFO] [stdout] 60 |     orange,
[INFO] [stdout]    |     ^^^^^^ help: convert the identifier to upper camel case (notice the capitalization): `Orange`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ndarray`
[INFO] [stdout]  --> test2-mlp-classifier/src/main.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use ndarray::*;
[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: `i`
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:80:9
[INFO] [stdout]    |
[INFO] [stdout] 80 |     for i in 0..n {
[INFO] [stdout]    |         ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MultilayerPerceptron` is never constructed
[INFO] [stdout]  --> test2-mlp-classifier/src/main.rs:7:8
[INFO] [stdout]   |
[INFO] [stdout] 7 | struct MultilayerPerceptron {
[INFO] [stdout]   |        ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MLPArchitecture` is never constructed
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:14:8
[INFO] [stdout]    |
[INFO] [stdout] 14 | struct MLPArchitecture {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:21:8
[INFO] [stdout]    |
[INFO] [stdout] 20 | impl MLPArchitecture {
[INFO] [stdout]    | -------------------- associated function in this implementation
[INFO] [stdout] 21 |     fn new(input_size: usize, hidden_layers: Vec<usize>, output_size: usize) -> Self {
[INFO] [stdout]    |        ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]    Compiling metrics v0.1.0 (/opt/rustwide/workdir/metrics)
[INFO] [stderr]    Compiling test6-nn v0.1.0 (/opt/rustwide/workdir/test6-nn)
[INFO] [stderr]    Compiling test7-nn-mnist-classifier v0.1.0 (/opt/rustwide/workdir/test7-nn-mnist-classifier)
[INFO] [stdout] warning: unused variable: `normalized_distance`
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:639:21
[INFO] [stdout]     |
[INFO] [stdout] 639 |                 let normalized_distance = euclidian_distance(&approx_gradients_big_v, &d_vec)
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_distance`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `LayerGradients` is never constructed
[INFO] [stdout]   --> test7-nn-mnist-classifier/src/lib.rs:81:8
[INFO] [stdout]    |
[INFO] [stdout] 81 | struct LayerGradients {
[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 `new` is never used
[INFO] [stdout]   --> test7-nn-mnist-classifier/src/lib.rs:87:8
[INFO] [stdout]    |
[INFO] [stdout] 86 | impl LayerGradients {
[INFO] [stdout]    | ------------------- associated function in this implementation
[INFO] [stdout] 87 |     fn new(weight_gradients: Matrix, bias_gradients: ColumnVector) -> Self {
[INFO] [stdout]    |        ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:118:7
[INFO] [stdout]     |
[INFO] [stdout] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stdout]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `err_output_layer` and `unroll_gradients` are never used
[INFO] [stdout]     --> test7-nn-mnist-classifier/src/lib.rs:328:8
[INFO] [stdout]      |
[INFO] [stdout]  148 | impl NeuralNetwork {
[INFO] [stdout]      | ------------------ methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout]  328 |     fn err_output_layer(
[INFO] [stdout]      |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 1128 |     fn unroll_gradients(
[INFO] [stdout]      |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:719:13
[INFO] [stdout]     |
[INFO] [stdout] 719 |             session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 719 |             let _ = session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `normalized_distance`
[INFO] [stdout]    --> test6-nn/src/lib.rs:585:21
[INFO] [stdout]     |
[INFO] [stdout] 585 |                 let normalized_distance = euclidian_distance(&approx_gradients_big_v, &d_vec)
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_distance`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `LayerGradients` is never constructed
[INFO] [stdout]   --> test6-nn/src/lib.rs:81:8
[INFO] [stdout]    |
[INFO] [stdout] 81 | struct LayerGradients {
[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 `new` is never used
[INFO] [stdout]   --> test6-nn/src/lib.rs:87:8
[INFO] [stdout]    |
[INFO] [stdout] 86 | impl LayerGradients {
[INFO] [stdout]    | ------------------- associated function in this implementation
[INFO] [stdout] 87 |     fn new(weight_gradients: Matrix, bias_gradients: ColumnVector) -> Self {
[INFO] [stdout]    |        ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stdout]    --> test6-nn/src/lib.rs:118:7
[INFO] [stdout]     |
[INFO] [stdout] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stdout]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `unroll_gradients` is never used
[INFO] [stdout]     --> test6-nn/src/lib.rs:1074:8
[INFO] [stdout]      |
[INFO] [stdout]  146 | impl SimpleNeuralNetwork {
[INFO] [stdout]      | ------------------------ method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 1074 |     fn unroll_gradients(
[INFO] [stdout]      |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `JELU` is never constructed
[INFO] [stdout]  --> test6-nn/src/activation/activator/jelu.rs:4:8
[INFO] [stdout]   |
[INFO] [stdout] 4 | struct JELU {
[INFO] [stdout]   |        ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]   --> test6-nn/src/activation/activator/jelu.rs:12:12
[INFO] [stdout]    |
[INFO] [stdout] 11 | impl JELU {
[INFO] [stdout]    | --------- associated function in this implementation
[INFO] [stdout] 12 |     pub fn new(crossover_point: f64) -> JELU {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test6-nn/src/lib.rs:665:13
[INFO] [stdout]     |
[INFO] [stdout] 665 |             session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 665 |             let _ = session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/main.rs:99:5
[INFO] [stdout]     |
[INFO] [stdout]  99 | /     nn.train_stochastic(
[INFO] [stdout] 100 | |         &training_data,
[INFO] [stdout] 101 | |         10_000,
[INFO] [stdout] ...   |
[INFO] [stdout] 110 | |         Some(session_logger),
[INFO] [stdout] 111 | |     );
[INFO] [stdout]     | |_____^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout]  99 |     let _ = nn.train_stochastic(
[INFO] [stdout]     |     +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test6-nn/src/main.rs:92:5
[INFO] [stdout]     |
[INFO] [stdout]  92 | /     nn.train_stochastic(
[INFO] [stdout]  93 | |         &training_data,
[INFO] [stdout]  94 | |         10_000,
[INFO] [stdout] ...   |
[INFO] [stdout] 103 | |         Some(session_logger),
[INFO] [stdout] 104 | |     );
[INFO] [stdout]     | |_____^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout]  92 |     let _ = nn.train_stochastic(
[INFO] [stdout]     |     +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 19.34s
[INFO] running `Command { std: "docker" "inspect" "a0caaad9819515c507f70597ce4740376dbed5152f67f8ef0dda6b8e4a3b9ea6", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "a0caaad9819515c507f70597ce4740376dbed5152f67f8ef0dda6b8e4a3b9ea6", kill_on_drop: false }`
[INFO] [stdout] a0caaad9819515c507f70597ce4740376dbed5152f67f8ef0dda6b8e4a3b9ea6
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+0abe69e6c16114311cc2700e972492e64d69c28f" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 3f0dadbd33a6d2211559869dc8c6ac9c4a7745b6fcca23b965ed6cf72c32b32a
[INFO] running `Command { std: "docker" "start" "-a" "3f0dadbd33a6d2211559869dc8c6ac9c4a7745b6fcca23b965ed6cf72c32b32a", kill_on_drop: false }`
[INFO] [stderr] warning: virtual workspace defaulting to `resolver = "1"` despite one or more workspace members being on edition 2021 which implies `resolver = "2"`
[INFO] [stderr]   |
[INFO] [stderr]   = note: to keep the current resolver, specify `workspace.resolver = "1"` in the workspace root's manifest
[INFO] [stderr]   = note: to use the edition 2021 resolver, specify `workspace.resolver = "2"` in the workspace root's manifest
[INFO] [stderr]   = note: for more details see https://doc.rust-lang.org/cargo/reference/resolver.html#resolver-versions
[INFO] [stderr]    Compiling float-cmp v0.9.0
[INFO] [stderr]    Compiling time v0.1.43
[INFO] [stdout] warning: enum `Quadrant` is never used
[INFO] [stdout]  --> common/src/point.rs:7:6
[INFO] [stdout]   |
[INFO] [stdout] 7 | enum Quadrant {
[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 `softmax` is never used
[INFO] [stdout]  --> common/src/softmax.rs:1:4
[INFO] [stdout]   |
[INFO] [stdout] 1 | fn softmax(logits: &[f64]) -> Vec<f64> {
[INFO] [stdout]   |    ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `softmax_derivative` is never used
[INFO] [stdout]   --> common/src/softmax.rs:16:4
[INFO] [stdout]    |
[INFO] [stdout] 16 | fn softmax_derivative(logits: &[f64]) -> Vec<Vec<f64>> {
[INFO] [stdout]    |    ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: hiding a lifetime that's named elsewhere is confusing
[INFO] [stdout]    --> common/src/linalg/mod.rs:714:64
[INFO] [stdout]     |
[INFO] [stdout] 714 |     pub fn iter_with<'a>(&'a self, other: &'a ColumnVector) -> IterWith {
[INFO] [stdout]     |                           --               --                  ^^^^^^^^ the same lifetime is hidden here
[INFO] [stdout]     |                           |                |
[INFO] [stdout]     |                           |                the lifetime is named here
[INFO] [stdout]     |                           the lifetime is named here
[INFO] [stdout]     |
[INFO] [stdout]     = help: the same lifetime is referred to in inconsistent ways, making the signature confusing
[INFO] [stdout]     = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default
[INFO] [stdout] help: consistently use `'a`
[INFO] [stdout]     |
[INFO] [stdout] 714 |     pub fn iter_with<'a>(&'a self, other: &'a ColumnVector) -> IterWith<'a> {
[INFO] [stdout]     |                                                                        ++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]    Compiling test1-autodiff v0.1.0 (/opt/rustwide/workdir/test1-autodiff)
[INFO] [stderr]    Compiling common v0.1.0 (/opt/rustwide/workdir/common)
[INFO] [stderr]    Compiling test3-simple-linear-regression v0.1.0 (/opt/rustwide/workdir/test3-simple-linear-regression)
[INFO] [stderr]    Compiling test5-playing-with-matrix-ideas v0.1.0 (/opt/rustwide/workdir/test5-playing-with-matrix-ideas)
[INFO] [stderr]    Compiling test2-mlp-classifier v0.1.0 (/opt/rustwide/workdir/test2-mlp-classifier)
[INFO] [stderr]    Compiling mnist-data v0.1.0 (/opt/rustwide/workdir/mnist-data)
[INFO] [stderr]    Compiling metrics v0.1.0 (/opt/rustwide/workdir/metrics)
[INFO] [stdout] warning: unused variable: `normalized_distance`
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:639:21
[INFO] [stdout]     |
[INFO] [stdout] 639 |                 let normalized_distance = euclidian_distance(&approx_gradients_big_v, &d_vec)
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_distance`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `LayerGradients` is never constructed
[INFO] [stdout]   --> test7-nn-mnist-classifier/src/lib.rs:81:8
[INFO] [stdout]    |
[INFO] [stdout] 81 | struct LayerGradients {
[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 `new` is never used
[INFO] [stdout]   --> test7-nn-mnist-classifier/src/lib.rs:87:8
[INFO] [stdout]    |
[INFO] [stdout] 86 | impl LayerGradients {
[INFO] [stdout]    | ------------------- associated function in this implementation
[INFO] [stdout] 87 |     fn new(weight_gradients: Matrix, bias_gradients: ColumnVector) -> Self {
[INFO] [stdout]    |        ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:118:7
[INFO] [stdout]     |
[INFO] [stdout] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stdout]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `err_output_layer` and `unroll_gradients` are never used
[INFO] [stdout]     --> test7-nn-mnist-classifier/src/lib.rs:328:8
[INFO] [stdout]      |
[INFO] [stdout]  148 | impl NeuralNetwork {
[INFO] [stdout]      | ------------------ methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout]  328 |     fn err_output_layer(
[INFO] [stdout]      |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 1128 |     fn unroll_gradients(
[INFO] [stdout]      |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:719:13
[INFO] [stdout]     |
[INFO] [stdout] 719 |             session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 719 |             let _ = session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `normalized_distance`
[INFO] [stdout]    --> test6-nn/src/lib.rs:585:21
[INFO] [stdout]     |
[INFO] [stdout] 585 |                 let normalized_distance = euclidian_distance(&approx_gradients_big_v, &d_vec)
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_distance`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `LayerGradients` is never constructed
[INFO] [stdout]   --> test6-nn/src/lib.rs:81:8
[INFO] [stdout]    |
[INFO] [stdout] 81 | struct LayerGradients {
[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 `new` is never used
[INFO] [stdout]   --> test6-nn/src/lib.rs:87:8
[INFO] [stdout]    |
[INFO] [stdout] 86 | impl LayerGradients {
[INFO] [stdout]    | ------------------- associated function in this implementation
[INFO] [stdout] 87 |     fn new(weight_gradients: Matrix, bias_gradients: ColumnVector) -> Self {
[INFO] [stdout]    |        ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stdout]    --> test6-nn/src/lib.rs:118:7
[INFO] [stdout]     |
[INFO] [stdout] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stdout]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `unroll_gradients` is never used
[INFO] [stdout]     --> test6-nn/src/lib.rs:1074:8
[INFO] [stdout]      |
[INFO] [stdout]  146 | impl SimpleNeuralNetwork {
[INFO] [stdout]      | ------------------------ method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 1074 |     fn unroll_gradients(
[INFO] [stdout]      |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `JELU` is never constructed
[INFO] [stdout]  --> test6-nn/src/activation/activator/jelu.rs:4:8
[INFO] [stdout]   |
[INFO] [stdout] 4 | struct JELU {
[INFO] [stdout]   |        ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]   --> test6-nn/src/activation/activator/jelu.rs:12:12
[INFO] [stdout]    |
[INFO] [stdout] 11 | impl JELU {
[INFO] [stdout]    | --------- associated function in this implementation
[INFO] [stdout] 12 |     pub fn new(crossover_point: f64) -> JELU {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test6-nn/src/lib.rs:665:13
[INFO] [stdout]     |
[INFO] [stdout] 665 |             session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 665 |             let _ = session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `e_to_the_x` is never used
[INFO] [stdout]  --> test1-autodiff/src/main.rs:3:4
[INFO] [stdout]   |
[INFO] [stdout] 3 | fn e_to_the_x(x: FT<f64>) -> FT<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: variant `blue` should have an upper camel case name
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:59:5
[INFO] [stdout]    |
[INFO] [stdout] 59 |     blue,
[INFO] [stdout]    |     ^^^^ help: convert the identifier to upper camel case: `Blue`
[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: variant `orange` should have an upper camel case name
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:60:5
[INFO] [stdout]    |
[INFO] [stdout] 60 |     orange,
[INFO] [stdout]    |     ^^^^^^ help: convert the identifier to upper camel case (notice the capitalization): `Orange`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ndarray`
[INFO] [stdout]  --> test2-mlp-classifier/src/main.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use ndarray::*;
[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: `i`
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:80:9
[INFO] [stdout]    |
[INFO] [stdout] 80 |     for i in 0..n {
[INFO] [stdout]    |         ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MultilayerPerceptron` is never constructed
[INFO] [stdout]  --> test2-mlp-classifier/src/main.rs:7:8
[INFO] [stdout]   |
[INFO] [stdout] 7 | struct MultilayerPerceptron {
[INFO] [stdout]   |        ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MLPArchitecture` is never constructed
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:14:8
[INFO] [stdout]    |
[INFO] [stdout] 14 | struct MLPArchitecture {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]   --> test2-mlp-classifier/src/main.rs:21:8
[INFO] [stdout]    |
[INFO] [stdout] 20 | impl MLPArchitecture {
[INFO] [stdout]    | -------------------- associated function in this implementation
[INFO] [stdout] 21 |     fn new(input_size: usize, hidden_layers: Vec<usize>, output_size: usize) -> Self {
[INFO] [stdout]    |        ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]    Compiling test4-multivariable-regression v0.1.0 (/opt/rustwide/workdir/test4-multivariable-regression)
[INFO] [stderr]    Compiling time-test v0.2.2
[INFO] [stdout] warning: enum `MultivariableRegressionError` is never used
[INFO] [stdout]   --> test4-multivariable-regression/src/main.rs:36:6
[INFO] [stdout]    |
[INFO] [stdout] 36 | enum MultivariableRegressionError {
[INFO] [stdout]    |      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: enum `InvalidDataError` is never used
[INFO] [stdout]   --> test4-multivariable-regression/src/main.rs:43:6
[INFO] [stdout]    |
[INFO] [stdout] 43 | enum InvalidDataError {
[INFO] [stdout]    |      ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]    Compiling test6-nn v0.1.0 (/opt/rustwide/workdir/test6-nn)
[INFO] [stderr]    Compiling test7-nn-mnist-classifier v0.1.0 (/opt/rustwide/workdir/test7-nn-mnist-classifier)
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test6-nn/src/main.rs:92:5
[INFO] [stdout]     |
[INFO] [stdout]  92 | /     nn.train_stochastic(
[INFO] [stdout]  93 | |         &training_data,
[INFO] [stdout]  94 | |         10_000,
[INFO] [stdout] ...   |
[INFO] [stdout] 103 | |         Some(session_logger),
[INFO] [stdout] 104 | |     );
[INFO] [stdout]     | |_____^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout]  92 |     let _ = nn.train_stochastic(
[INFO] [stdout]     |     +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/main.rs:99:5
[INFO] [stdout]     |
[INFO] [stdout]  99 | /     nn.train_stochastic(
[INFO] [stdout] 100 | |         &training_data,
[INFO] [stdout] 101 | |         10_000,
[INFO] [stdout] ...   |
[INFO] [stdout] 110 | |         Some(session_logger),
[INFO] [stdout] 111 | |     );
[INFO] [stdout]     | |_____^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout]  99 |     let _ = nn.train_stochastic(
[INFO] [stdout]     |     +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: enum `Quadrant` is never used
[INFO] [stdout]  --> common/src/point.rs:7:6
[INFO] [stdout]   |
[INFO] [stdout] 7 | enum Quadrant {
[INFO] [stdout]   |      ^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: hiding a lifetime that's named elsewhere is confusing
[INFO] [stdout]    --> common/src/linalg/mod.rs:714:64
[INFO] [stdout]     |
[INFO] [stdout] 714 |     pub fn iter_with<'a>(&'a self, other: &'a ColumnVector) -> IterWith {
[INFO] [stdout]     |                           --               --                  ^^^^^^^^ the same lifetime is hidden here
[INFO] [stdout]     |                           |                |
[INFO] [stdout]     |                           |                the lifetime is named here
[INFO] [stdout]     |                           the lifetime is named here
[INFO] [stdout]     |
[INFO] [stdout]     = help: the same lifetime is referred to in inconsistent ways, making the signature confusing
[INFO] [stdout]     = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default
[INFO] [stdout] help: consistently use `'a`
[INFO] [stdout]     |
[INFO] [stdout] 714 |     pub fn iter_with<'a>(&'a self, other: &'a ColumnVector) -> IterWith<'a> {
[INFO] [stdout]     |                                                                        ++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/big_theta.rs:381:13
[INFO] [stdout]     |
[INFO] [stdout] 381 |         let mut big_theta = create_big_theta_for_test(&sizes);
[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: variable does not need to be mutable
[INFO] [stdout]    --> test6-nn/src/big_theta.rs:381:13
[INFO] [stdout]     |
[INFO] [stdout] 381 |         let mut big_theta = create_big_theta_for_test(&sizes);
[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: `normalized_distance`
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:639:21
[INFO] [stdout]     |
[INFO] [stdout] 639 |                 let normalized_distance = euclidian_distance(&approx_gradients_big_v, &d_vec)
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_distance`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `lr`
[INFO] [stdout]     --> test7-nn-mnist-classifier/src/lib.rs:2242:13
[INFO] [stdout]      |
[INFO] [stdout] 2242 |         let lr = LeakyReLU::new(0.1);
[INFO] [stdout]      |             ^^ help: if this is intentional, prefix it with an underscore: `_lr`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `normalized_distance`
[INFO] [stdout]    --> test6-nn/src/lib.rs:585:21
[INFO] [stdout]     |
[INFO] [stdout] 585 |                 let normalized_distance = euclidian_distance(&approx_gradients_big_v, &d_vec)
[INFO] [stdout]     |                     ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_distance`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:118:7
[INFO] [stdout]     |
[INFO] [stdout] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stdout]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `err_output_layer` is never used
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:328:8
[INFO] [stdout]     |
[INFO] [stdout] 148 | impl NeuralNetwork {
[INFO] [stdout]     | ------------------ method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 328 |     fn err_output_layer(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test7-nn-mnist-classifier/src/lib.rs:719:13
[INFO] [stdout]     |
[INFO] [stdout] 719 |             session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 719 |             let _ = session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stdout]    --> test6-nn/src/lib.rs:118:7
[INFO] [stdout]     |
[INFO] [stdout] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stdout]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> test6-nn/src/lib.rs:665:13
[INFO] [stdout]     |
[INFO] [stdout] 665 |             session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 665 |             let _ = session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 5.11s
[INFO] running `Command { std: "docker" "inspect" "3f0dadbd33a6d2211559869dc8c6ac9c4a7745b6fcca23b965ed6cf72c32b32a", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "3f0dadbd33a6d2211559869dc8c6ac9c4a7745b6fcca23b965ed6cf72c32b32a", kill_on_drop: false }`
[INFO] [stdout] 3f0dadbd33a6d2211559869dc8c6ac9c4a7745b6fcca23b965ed6cf72c32b32a
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+0abe69e6c16114311cc2700e972492e64d69c28f" "test" "--frozen", kill_on_drop: false }`
[INFO] [stdout] c5174fb6cc14576b9e2dd26dbf91058305fe953630c73068cc9d418967789d19
[INFO] running `Command { std: "docker" "start" "-a" "c5174fb6cc14576b9e2dd26dbf91058305fe953630c73068cc9d418967789d19", kill_on_drop: false }`
[INFO] [stderr] warning: virtual workspace defaulting to `resolver = "1"` despite one or more workspace members being on edition 2021 which implies `resolver = "2"`
[INFO] [stderr]   |
[INFO] [stderr]   = note: to keep the current resolver, specify `workspace.resolver = "1"` in the workspace root's manifest
[INFO] [stderr]   = note: to use the edition 2021 resolver, specify `workspace.resolver = "2"` in the workspace root's manifest
[INFO] [stderr]   = note: for more details see https://doc.rust-lang.org/cargo/reference/resolver.html#resolver-versions
[INFO] [stderr] warning: function `e_to_the_x` is never used
[INFO] [stderr]  --> test1-autodiff/src/main.rs:3:4
[INFO] [stderr]   |
[INFO] [stderr] 3 | fn e_to_the_x(x: FT<f64>) -> FT<f64> {
[INFO] [stderr]   |    ^^^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: `test1-autodiff` (bin "test1-autodiff" test) generated 1 warning
[INFO] [stderr] warning: variant `blue` should have an upper camel case name
[INFO] [stderr]   --> test2-mlp-classifier/src/main.rs:59:5
[INFO] [stderr]    |
[INFO] [stderr] 59 |     blue,
[INFO] [stderr]    |     ^^^^ help: convert the identifier to upper camel case: `Blue`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(non_camel_case_types)]` (part of `#[warn(nonstandard_style)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: variant `orange` should have an upper camel case name
[INFO] [stderr]   --> test2-mlp-classifier/src/main.rs:60:5
[INFO] [stderr]    |
[INFO] [stderr] 60 |     orange,
[INFO] [stderr]    |     ^^^^^^ help: convert the identifier to upper camel case (notice the capitalization): `Orange`
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `ndarray`
[INFO] [stderr]  --> test2-mlp-classifier/src/main.rs:5:5
[INFO] [stderr]   |
[INFO] [stderr] 5 | use ndarray::*;
[INFO] [stderr]   |     ^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `i`
[INFO] [stderr]   --> test2-mlp-classifier/src/main.rs:80:9
[INFO] [stderr]    |
[INFO] [stderr] 80 |     for i in 0..n {
[INFO] [stderr]    |         ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: struct `MultilayerPerceptron` is never constructed
[INFO] [stderr]  --> test2-mlp-classifier/src/main.rs:7:8
[INFO] [stderr]   |
[INFO] [stderr] 7 | struct MultilayerPerceptron {
[INFO] [stderr]   |        ^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: struct `MLPArchitecture` is never constructed
[INFO] [stderr]   --> test2-mlp-classifier/src/main.rs:14:8
[INFO] [stderr]    |
[INFO] [stderr] 14 | struct MLPArchitecture {
[INFO] [stderr]    |        ^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated function `new` is never used
[INFO] [stderr]   --> test2-mlp-classifier/src/main.rs:21:8
[INFO] [stderr]    |
[INFO] [stderr] 20 | impl MLPArchitecture {
[INFO] [stderr]    | -------------------- associated function in this implementation
[INFO] [stderr] 21 |     fn new(input_size: usize, hidden_layers: Vec<usize>, output_size: usize) -> Self {
[INFO] [stderr]    |        ^^^
[INFO] [stderr] 
[INFO] [stderr] warning: `test2-mlp-classifier` (bin "test2-mlp-classifier" test) generated 7 warnings (run `cargo fix --bin "test2-mlp-classifier" -p test2-mlp-classifier --tests` to apply 1 suggestion)
[INFO] [stderr] warning: enum `Quadrant` is never used
[INFO] [stderr]  --> common/src/point.rs:7:6
[INFO] [stderr]   |
[INFO] [stderr] 7 | enum Quadrant {
[INFO] [stderr]   |      ^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: function `softmax` is never used
[INFO] [stderr]  --> common/src/softmax.rs:1:4
[INFO] [stderr]   |
[INFO] [stderr] 1 | fn softmax(logits: &[f64]) -> Vec<f64> {
[INFO] [stderr]   |    ^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: function `softmax_derivative` is never used
[INFO] [stderr]   --> common/src/softmax.rs:16:4
[INFO] [stderr]    |
[INFO] [stderr] 16 | fn softmax_derivative(logits: &[f64]) -> Vec<Vec<f64>> {
[INFO] [stderr]    |    ^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: hiding a lifetime that's named elsewhere is confusing
[INFO] [stderr]    --> common/src/linalg/mod.rs:714:64
[INFO] [stderr]     |
[INFO] [stderr] 714 |     pub fn iter_with<'a>(&'a self, other: &'a ColumnVector) -> IterWith {
[INFO] [stderr]     |                           --               --                  ^^^^^^^^ the same lifetime is hidden here
[INFO] [stderr]     |                           |                |
[INFO] [stderr]     |                           |                the lifetime is named here
[INFO] [stderr]     |                           the lifetime is named here
[INFO] [stderr]     |
[INFO] [stderr]     = help: the same lifetime is referred to in inconsistent ways, making the signature confusing
[INFO] [stderr]     = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default
[INFO] [stderr] help: consistently use `'a`
[INFO] [stderr]     |
[INFO] [stderr] 714 |     pub fn iter_with<'a>(&'a self, other: &'a ColumnVector) -> IterWith<'a> {
[INFO] [stderr]     |                                                                        ++++
[INFO] [stderr] 
[INFO] [stderr] warning: `common` (lib) generated 4 warnings (run `cargo fix --lib -p common` to apply 1 suggestion)
[INFO] [stderr] warning: `common` (lib test) generated 2 warnings (2 duplicates)
[INFO] [stderr] warning: enum `MultivariableRegressionError` is never used
[INFO] [stderr]   --> test4-multivariable-regression/src/main.rs:36:6
[INFO] [stderr]    |
[INFO] [stderr] 36 | enum MultivariableRegressionError {
[INFO] [stderr]    |      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: enum `InvalidDataError` is never used
[INFO] [stderr]   --> test4-multivariable-regression/src/main.rs:43:6
[INFO] [stderr]    |
[INFO] [stderr] 43 | enum InvalidDataError {
[INFO] [stderr]    |      ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: `test4-multivariable-regression` (bin "test4-multivariable-regression" test) generated 2 warnings
[INFO] [stderr] warning: unused variable: `normalized_distance`
[INFO] [stderr]    --> test7-nn-mnist-classifier/src/lib.rs:639:21
[INFO] [stderr]     |
[INFO] [stderr] 639 |                 let normalized_distance = euclidian_distance(&approx_gradients_big_v, &d_vec)
[INFO] [stderr]     |                     ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_distance`
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: struct `LayerGradients` is never constructed
[INFO] [stderr]   --> test7-nn-mnist-classifier/src/lib.rs:81:8
[INFO] [stderr]    |
[INFO] [stderr] 81 | struct LayerGradients {
[INFO] [stderr]    |        ^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: associated function `new` is never used
[INFO] [stderr]   --> test7-nn-mnist-classifier/src/lib.rs:87:8
[INFO] [stderr]    |
[INFO] [stderr] 86 | impl LayerGradients {
[INFO] [stderr]    | ------------------- associated function in this implementation
[INFO] [stderr] 87 |     fn new(weight_gradients: Matrix, bias_gradients: ColumnVector) -> Self {
[INFO] [stderr]    |        ^^^
[INFO] [stderr] 
[INFO] [stderr] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stderr]    --> test7-nn-mnist-classifier/src/lib.rs:118:7
[INFO] [stderr]     |
[INFO] [stderr] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stderr]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: methods `err_output_layer` and `unroll_gradients` are never used
[INFO] [stderr]     --> test7-nn-mnist-classifier/src/lib.rs:328:8
[INFO] [stderr]      |
[INFO] [stderr]  148 | impl NeuralNetwork {
[INFO] [stderr]      | ------------------ methods in this implementation
[INFO] [stderr] ...
[INFO] [stderr]  328 |     fn err_output_layer(
[INFO] [stderr]      |        ^^^^^^^^^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 1128 |     fn unroll_gradients(
[INFO] [stderr]      |        ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused `Result` that must be used
[INFO] [stderr]    --> test7-nn-mnist-classifier/src/lib.rs:719:13
[INFO] [stderr]     |
[INFO] [stderr] 719 |             session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stderr]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]     |
[INFO] [stderr]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stderr]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] help: use `let _ = ...` to ignore the resulting value
[INFO] [stderr]     |
[INFO] [stderr] 719 |             let _ = session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stderr]     |             +++++++
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `normalized_distance`
[INFO] [stderr]    --> test6-nn/src/lib.rs:585:21
[INFO] [stderr]     |
[INFO] [stderr] 585 |                 let normalized_distance = euclidian_distance(&approx_gradients_big_v, &d_vec)
[INFO] [stderr]     |                     ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_normalized_distance`
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: struct `LayerGradients` is never constructed
[INFO] [stderr]   --> test6-nn/src/lib.rs:81:8
[INFO] [stderr]    |
[INFO] [stderr] 81 | struct LayerGradients {
[INFO] [stderr]    |        ^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: associated function `new` is never used
[INFO] [stderr]   --> test6-nn/src/lib.rs:87:8
[INFO] [stderr]    |
[INFO] [stderr] 86 | impl LayerGradients {
[INFO] [stderr]    | ------------------- associated function in this implementation
[INFO] [stderr] 87 |     fn new(weight_gradients: Matrix, bias_gradients: ColumnVector) -> Self {
[INFO] [stderr]    |        ^^^
[INFO] [stderr] 
[INFO] [stderr] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stderr]    --> test6-nn/src/lib.rs:118:7
[INFO] [stderr]     |
[INFO] [stderr] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stderr]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method `unroll_gradients` is never used
[INFO] [stderr]     --> test6-nn/src/lib.rs:1074:8
[INFO] [stderr]      |
[INFO] [stderr]  146 | impl SimpleNeuralNetwork {
[INFO] [stderr]      | ------------------------ method in this implementation
[INFO] [stderr] ...
[INFO] [stdout] 
[INFO] [stderr] 1074 |     fn unroll_gradients(
[INFO] [stdout] running 104 tests
[INFO] [stderr]      |        ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: struct `JELU` is never constructed
[INFO] [stderr]  --> test6-nn/src/activation/activator/jelu.rs:4:8
[INFO] [stderr]   |
[INFO] [stderr] 4 | struct JELU {
[INFO] [stderr]   |        ^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: associated function `new` is never used
[INFO] [stderr]   --> test6-nn/src/activation/activator/jelu.rs:12:12
[INFO] [stderr]    |
[INFO] [stderr] 11 | impl JELU {
[INFO] [stderr]    | --------- associated function in this implementation
[INFO] [stderr] 12 |     pub fn new(crossover_point: f64) -> JELU {
[INFO] [stderr]    |            ^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused `Result` that must be used
[INFO] [stderr]    --> test6-nn/src/lib.rs:665:13
[INFO] [stderr]     |
[INFO] [stderr] 665 |             session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stderr]     |             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]     |
[INFO] [stderr]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stderr]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] help: use `let _ = ...` to ignore the resulting value
[INFO] [stderr]     |
[INFO] [stderr] 665 |             let _ = session_logger.write_training_session_file(initial_cost, network_config, optimizer_str);
[INFO] [stderr]     |             +++++++
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]    --> test7-nn-mnist-classifier/src/big_theta.rs:381:13
[INFO] [stderr]     |
[INFO] [stderr] 381 |         let mut big_theta = create_big_theta_for_test(&sizes);
[INFO] [stderr]     |             ----^^^^^^^^^
[INFO] [stderr]     |             |
[INFO] [stderr]     |             help: remove this `mut`
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `lr`
[INFO] [stderr]     --> test7-nn-mnist-classifier/src/lib.rs:2242:13
[INFO] [stderr]      |
[INFO] [stderr] 2242 |         let lr = LeakyReLU::new(0.1);
[INFO] [stderr]      |             ^^ help: if this is intentional, prefix it with an underscore: `_lr`
[INFO] [stderr] 
[INFO] [stderr] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stderr]    --> test7-nn-mnist-classifier/src/lib.rs:118:7
[INFO] [stderr]     |
[INFO] [stderr] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stderr]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: method `err_output_layer` is never used
[INFO] [stderr]    --> test7-nn-mnist-classifier/src/lib.rs:328:8
[INFO] [stderr]     |
[INFO] [stderr] 148 | impl NeuralNetwork {
[INFO] [stderr]     | ------------------ method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 328 |     fn err_output_layer(
[INFO] [stderr]     |        ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]    --> test6-nn/src/big_theta.rs:381:13
[INFO] [stderr]     |
[INFO] [stderr] 381 |         let mut big_theta = create_big_theta_for_test(&sizes);
[INFO] [stderr]     |             ----^^^^^^^^^
[INFO] [stderr]     |             |
[INFO] [stderr]     |             help: remove this `mut`
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: constant `GRADIENT_CHECK_EPSILON_SQUARED` is never used
[INFO] [stderr]    --> test6-nn/src/lib.rs:118:7
[INFO] [stderr]     |
[INFO] [stderr] 118 | const GRADIENT_CHECK_EPSILON_SQUARED: f64 = GRADIENT_CHECK_EPSILON * GRADIENT_CHECK_EPSILON;
[INFO] [stderr]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] test linalg::column_vector_tests::div_scalar_works ... ok
[INFO] [stderr]     |
[INFO] [stdout] test linalg::column_vector_tests::add_works ... ok
[INFO] [stderr]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] test linalg::column_vector_tests::add_mut_works ... ok
[INFO] [stderr] 
[INFO] [stdout] test linalg::column_vector_tests::elementwise_divide_in_place_works ... ok
[INFO] [stderr] warning: `test7-nn-mnist-classifier` (lib) generated 6 warnings (run `cargo fix --lib -p test7-nn-mnist-classifier` to apply 1 suggestion)
[INFO] [stdout] test linalg::column_vector_tests::div_scalar_mut_works ... ok
[INFO] [stderr] warning: `test6-nn` (lib) generated 8 warnings (run `cargo fix --lib -p test6-nn` to apply 1 suggestion)
[INFO] [stdout] test linalg::column_vector_tests::elementwise_divide_works ... ok
[INFO] [stderr] warning: `test7-nn-mnist-classifier` (lib test) generated 6 warnings (2 duplicates) (run `cargo fix --lib -p test7-nn-mnist-classifier --tests` to apply 2 suggestions)
[INFO] [stdout] test linalg::column_vector_tests::fill_new_works ... ok
[INFO] [stderr] warning: `test6-nn` (lib test) generated 4 warnings (2 duplicates) (run `cargo fix --lib -p test6-nn --tests` to apply 1 suggestion)
[INFO] [stdout] test linalg::column_vector_tests::hadamard_product_chaining_works ... ok
[INFO] [stderr] warning: unused `Result` that must be used
[INFO] [stdout] test linalg::column_vector_tests::hadamard_product_works ... ok
[INFO] [stderr]    --> test7-nn-mnist-classifier/src/main.rs:99:5
[INFO] [stdout] test linalg::column_vector_tests::empty_works ... ok
[INFO] [stderr]     |
[INFO] [stdout] test linalg::column_vector_tests::into_value_works ... ok
[INFO] [stderr]  99 | /     nn.train_stochastic(
[INFO] [stdout] test linalg::column_vector_tests::minus_in_place_works ... ok
[INFO] [stderr] 100 | |         &training_data,
[INFO] [stdout] test linalg::column_vector_tests::new_zero_vector_works ... ok
[INFO] [stderr] 101 | |         10_000,
[INFO] [stdout] test linalg::column_vector_tests::mult_by_matrix_works ... ok
[INFO] [stderr] ...   |
[INFO] [stdout] test linalg::column_vector_tests::test_add_scalar_to_each_element_in_place ... ok
[INFO] [stderr] 110 | |         Some(session_logger),
[INFO] [stdout] test linalg::column_vector_tests::test_can_iterate_mutably_over_column_vector ... ok
[INFO] [stderr] 111 | |     );
[INFO] [stdout] test linalg::column_vector_tests::test_can_iterate_over_column_vector ... ok
[INFO] [stderr]     | |_____^
[INFO] [stdout] test linalg::column_vector_tests::test_mult_scalar_mut ... ok
[INFO] [stderr]     |
[INFO] [stdout] test linalg::column_vector_tests::test_elementwise_square_root_in_place ... ok
[INFO] [stderr]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] test linalg::column_vector_tests::test_vec_length ... ok
[INFO] [stderr]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] test linalg::columns_matrix_builder_tests::test_columns_matrix_builder_with_chaining ... ok
[INFO] [stderr] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout] test linalg::column_vector_tests::transpose_into_row_vector_matrix_works ... ok
[INFO] [stderr]     |
[INFO] [stdout] test linalg::column_vector_tests::test_outer_product ... ok
[INFO] [stderr]  99 |     let _ = nn.train_stochastic(
[INFO] [stdout] test linalg::rows_matrix_builder_tests::test_row_matrix_builder_with_non_chaining ... ok
[INFO] [stderr]     |     +++++++
[INFO] [stdout] test linalg::column_vector_tests::transpose_works ... ok
[INFO] [stderr] 
[INFO] [stdout] test linalg::rows_matrix_builder_tests::test_rows_matrix_builder_with_chaining ... ok
[INFO] [stderr] warning: unused `Result` that must be used
[INFO] [stdout] test linalg::test_components_in_the_module_root::test_euclidian_length ... ok
[INFO] [stderr]    --> test6-nn/src/main.rs:92:5
[INFO] [stdout] test linalg::column_vector_tests::plus_works ... ok
[INFO] [stderr]     |
[INFO] [stdout] test linalg::columns_matrix_builder_tests::test_columns_matrix_builder_with_non_chaining ... ok
[INFO] [stderr]  92 | /     nn.train_stochastic(
[INFO] [stdout] test linalg::column_vector_tests::hadamard_product_in_place_works ... ok
[INFO] [stderr]  93 | |         &training_data,
[INFO] [stdout] test linalg::column_vector_tests::subtract_works ... ok
[INFO] [stderr]  94 | |         10_000,
[INFO] [stdout] test linalg::column_vector_tests::multiply_by_scalar_works ... ok
[INFO] [stderr] ...   |
[INFO] [stdout] test linalg::test_components_in_the_module_root::test_euclidian_distance ... ok
[INFO] [stderr] 103 | |         Some(session_logger),
[INFO] [stdout] test linalg::tests::add_mut_works ... ok
[INFO] [stderr] 104 | |     );
[INFO] [stdout] test linalg::tests::can_add_rows_and_get_values_at_specified_indexes ... ok
[INFO] [stderr]     | |_____^
[INFO] [stdout] test linalg::column_vector_tests::test_basics ... ok
[INFO] [stderr]     |
[INFO] [stdout] test linalg::tests::multiply_works ... ok
[INFO] [stderr]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] test linalg::tests::new_identity_matrix_works ... ok
[INFO] [stderr]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] help: use `let _ = ...` to ignore the resulting value
[INFO] [stderr]     |
[INFO] [stderr]  92 |     let _ = nn.train_stochastic(
[INFO] [stderr]     |     +++++++
[INFO] [stderr] 
[INFO] [stderr] warning: `test7-nn-mnist-classifier` (bin "test7-nn-mnist-classifier" test) generated 1 warning
[INFO] [stderr] warning: `test6-nn` (bin "test6-nn" test) generated 1 warning
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 0.17s
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/common-4b52116a9e643813)
[INFO] [stdout] test linalg::tests::add_in_place_serial_works ... ok
[INFO] [stdout] test linalg::tests::set_and_get_work ... ok
[INFO] [stdout] test linalg::tests::subtract ... ok
[INFO] [stdout] test linalg::tests::plus_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::test_can_do_double_iterate_over_column_vectors ... ok
[INFO] [stdout] test linalg::tests::push_column_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::dot_product_works ... ok
[INFO] [stdout] test linalg::tests::test_add_scalar_to_each_element_in_place ... ok
[INFO] [stdout] test linalg::tests::test_div_scalar ... ok
[INFO] [stdout] test linalg::tests::test_div_scalar_mut ... ok
[INFO] [stdout] test linalg::tests::test_elementwise_divide ... ok
[INFO] [stdout] test linalg::tests::test_elementwise_divide_product_in_place ... ok
[INFO] [stdout] test linalg::tests::test_elementwise_square_root_in_place ... ok
[INFO] [stdout] test linalg::tests::test_extract_column ... ok
[INFO] [stdout] test linalg::tests::test_extract_column_vector_as_matrix ... ok
[INFO] [stdout] test linalg::tests::test_from_columns ... ok
[INFO] [stdout] test linalg::tests::test_hadamard_product ... ok
[INFO] [stdout] test linalg::tests::test_matrix_vector_multiplication ... ok
[INFO] [stdout] test linalg::tests::test_matrix_vector_multiplication_with_column_vector_type ... ok
[INFO] [stdout] test linalg::tests::test_multiply_by_scalar ... ok
[INFO] [stdout] test linalg::tests::test_mult_scalar_mut ... ok
[INFO] [stdout] test linalg::tests::test_vec_length ... ok
[INFO] [stdout] test linalg::tests::transpose_of_column_vector_mult_by_column_vector_works ... ok
[INFO] [stdout] test linalg::tests::test_hadamard_product_in_place ... ok
[INFO] [stdout] test linalg::column_vector_tests::can_create_a_column_vector_and_use_from_and_into ... ok
[INFO] [stdout] test old_matrix::columns_matrix_builder_tests::test_columns_matrix_builder_with_non_chaining ... ok
[INFO] [stdout] test old_matrix::rows_matrix_builder_tests::test_row_matrix_builder_with_non_chaining ... ok
[INFO] [stdout] test old_matrix::tests::add_in_place_works ... ok
[INFO] [stdout] test old_matrix::tests::minus_works ... ok
[INFO] [stdout] test old_matrix::tests::can_add_rows_and_get_values_at_specified_indexes ... ok
[INFO] [stdout] test linalg::tests::transpose_works ... ok
[INFO] [stdout] test old_matrix::rows_matrix_builder_tests::test_rows_matrix_builder_with_chaining ... ok
[INFO] [stdout] test linalg::tests::test_hadamard_product_chaining ... ok
[INFO] [stdout] test old_matrix::tests::push_column_works ... ok
[INFO] [stdout] test old_matrix::tests::set_and_get_work ... ok
[INFO] [stdout] test old_matrix::tests::subtract_works ... ok
[INFO] [stdout] test old_matrix::tests::test_div_scalar ... ok
[INFO] [stdout] test old_matrix::tests::test_divide_by_scalar_in_place ... ok
[INFO] [stdout] test old_matrix::tests::test_multiply_by_scalar ... ok
[INFO] [stdout] test old_matrix::tests::test_matrix_vector_multiplication ... ok
[INFO] [stdout] test old_matrix::tests::test_multiply_by_scalar_in_place ... ok
[INFO] [stdout] test linalg::tests::transpose_works_for_column_vector ... ok
[INFO] [stdout] test old_matrix::tests::test_hadamard_product_in_place ... ok
[INFO] [stdout] test old_matrix::tests::test_extract_column ... ok
[INFO] [stdout] test old_matrix::tests::multiply_works ... ok
[INFO] [stdout] test old_matrix::tests::plus_works ... ok
[INFO] [stdout] test old_matrix::tests::new_identity_matrix_works ... ok
[INFO] [stdout] test old_matrix::tests::test_hadamard_product ... ok
[INFO] [stdout] test old_matrix::tests::test_vec_length ... ok
[INFO] [stdout] test old_matrix::columns_matrix_builder_tests::test_columns_matrix_builder_with_chaining ... ok
[INFO] [stdout] test old_matrix::tests::test_from_columns ... ok
[INFO] [stdout] test old_matrix::tests::transpose_works ... ok
[INFO] [stdout] test old_matrix::tests::transpose_works_for_column_vector ... ok
[INFO] [stdout] test point::tests::it_works ... ok
[INFO] [stdout] test softmax::tests::test_softmax_derivative_off_diagonal ... ok
[INFO] [stdout] test softmax::tests::test_softmax_derivative_diagonal ... ok
[INFO] [stdout] test softmax::tests::test_softmax_derivative_matrix_size ... ok
[INFO] [stdout] test softmax::tests::test_softmax_derivative_uniform_input ... ok
[INFO] [stdout] test linalg::tests::add_in_place_par_works ... ok
[INFO] [stdout] test softmax::tests::test_softmax_numerical_stability ... ok
[INFO] [stdout] test linalg::tests::test_subtract_mut ... ok
[INFO] [stdout] test softmax::tests::test_softmax_output_range ... ok
[INFO] [stdout] test tests::dot_product_works ... ok
[INFO] [stdout] test tests::dot_returns_err_if_dimentions_are_zero ... ok
[INFO] [stdout] test old_matrix::tests::transpose_of_column_vector_mult_by_column_vector_works ... ok
[INFO] [stdout] test softmax::tests::test_softmax_sum_to_one ... ok
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 104 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.02s
[INFO] [stdout] 
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/metrics-8436d1d45c07747d)
[INFO] [stdout] 
[INFO] [stdout] running 0 tests
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
[INFO] [stdout] 
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/mnist_data-e25da8a7fd6cab29)
[INFO] [stdout] 
[INFO] [stdout] running 0 tests
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
[INFO] [stdout] 
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test1_autodiff-ffdd68b2e1b44465)
[INFO] [stdout] 
[INFO] [stdout] running 0 tests
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
[INFO] [stdout] 
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test2_mlp_classifier-3ca4ad0e64c4e832)
[INFO] [stdout] 
[INFO] [stdout] running 0 tests
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
[INFO] [stdout] 
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test3_simple_linear_regression-e25869b00c8d9cb2)
[INFO] [stdout] 
[INFO] [stdout] running 1 test
[INFO] [stdout] test tests::it_yields_the_correct_result ... ok
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
[INFO] [stdout] 
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test4_multivariable_regression-0eb2c6c967bbfc82)
[INFO] [stdout] 
[INFO] [stdout] running 7 tests
[INFO] [stdout] test tests::compute_partial_derivatives_v_works ... ok
[INFO] [stdout] test tests::cost_fn_works_for_non_zero_cost ... ok
[INFO] [stdout] test tests::cost_fn_works_for_zero_cost ... ok
[INFO] [stdout] test tests::it_yields_the_correct_result_for_3d_ex1 ... ok
[INFO] [stdout] test tests::hypothesis_v_works ... ok
[INFO] [stdout] test tests::it_yields_the_correct_result_for_2d ... ok
[INFO] [stdout] test tests::it_yields_the_correct_result_for_3d_ex2 ... ok
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 7 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.03s
[INFO] [stdout] 
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test5_playing_with_matrix_ideas-b63dd0d22dc15b88)
[INFO] [stdout] 
[INFO] [stdout] running 0 tests
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
[INFO] [stdout] 
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/test6_nn-032093b9317a98c5)
[INFO] [stdout] 
[INFO] [stdout] running 60 tests
[INFO] [stdout] test activation::activator::elu::tests::activate_prime_works ... ok
[INFO] [stdout] test activation::activator::jelu::tests::test_activate ... ok
[INFO] [stdout] test activation::activator::relu::tests::activate_prime_works ... ok
[INFO] [stdout] test activation::activator::sigmoid::tests::activate_derivative_works ... ok
[INFO] [stdout] test activation::activator::jelu::tests::test_activate_derivative ... ok
[INFO] [stdout] test activation::leaky_relu::tests::activate_prime_works ... ok
[INFO] [stdout] test activation::leaky_relu::tests::activate_works ... ok
[INFO] [stdout] test activation::relu::tests::activate_prime_works ... ok
[INFO] [stdout] test activation::sigmoid::tests::activate_derivative_works ... ok
[INFO] [stdout] test activation::sigmoid::tests::activate_works ... ok
[INFO] [stdout] test activation::activator::sigmoid::tests::activate_works ... ok
[INFO] [stdout] test big_theta::tests::test_divide_scalar_return_new_works ... ok
[INFO] [stdout] test big_theta::tests::test_elementwise_divide_in_place_place_works ... ok
[INFO] [stdout] test activation::activator::relu::tests::activate_works ... ok
[INFO] [stdout] test big_theta::tests::divide_scalar_works ... ok
[INFO] [stdout] test activation::activator::tests::activate_vector_works ... ok
[INFO] [stdout] test big_theta::tests::create_big_theta_for_test_works ... ok
[INFO] [stdout] test big_theta::tests::create_big_theta_for_test_with_scale_factor_works ... ok
[INFO] [stdout] test big_theta::tests::test_add_in_place_works ... ok
[INFO] [stdout] test big_theta::tests::test_mult_scalar_in_place_works ... ok
[INFO] [stdout] test big_theta::tests::test_elementwise_mult_in_place_place_works ... ok
[INFO] [stdout] test activation::elu::tests::activate_prime_works ... ok
[INFO] [stdout] test big_theta::tests::test_mult_scalar_return_new_works ... ok
[INFO] [stdout] test big_theta::tests::test_subtract_in_place_works ... ok
[INFO] [stdout] test big_theta::tests::test_zero_from_sizes ... ok
[INFO] [stdout] test activation::relu::tests::activate_works ... ok
[INFO] [stdout] test activation::jelu::tests::test_activate ... ok
[INFO] [stdout] test activation::jelu::tests::test_activate_derivative ... ok
[INFO] [stdout] test activation::activator::tests::activate_derivative_vector_works ... ok
[INFO] [stdout] test activation::activator::elu::tests::activate_works ... ok
[INFO] [stdout] test big_theta::tests::test_get_weights_matrix_mut ... ok
[INFO] [stdout] test builder::test_nn_builder::test_nn_builder_manual_wb_values ... ok
[INFO] [stdout] test activation::elu::tests::activate_works ... ok
[INFO] [stdout] test cost::tests::test_quadratic_cost_fn_dimension_mismatch ... ok
[INFO] [stdout] test tests::feed_forward_works_simple_three_layer_using_feed_forward_capturing ... ok
[INFO] [stdout] test tests::feed_forward_works_simple_two_layer ... ok
[INFO] [stdout] test cost::tests::test_quadratic_cost_fn ... ok
[INFO] [stdout] test tests::feed_forward_works_simple_three_layer ... ok
[INFO] [stdout] test tests::test_cost_single_tr_ex_single_output_neuron ... ok
[INFO] [stdout] test tests::test_cost_single_tr_ex_multiple_output_neurons ... ok
[INFO] [stdout] test tests::test_get_weight_matrix_shape ... ok
[INFO] [stdout] test tests::test_reshape_weights_and_biases ... ok
[INFO] [stdout] test tests::test_unroll_gradients ... ok
[INFO] [stdout] test tests::test_rev_layer_indexs_computation ... ok
[INFO] [stdout] test tests::test_unroll_weights_and_biases ... ok
[INFO] [stdout] test tests::test_cost_for_training_set_iterative_impl ... ok
[INFO] [stdout] test tests::test_z_vec ... ok
[INFO] [stdout] test builder::test_nn_builder::cannot_add_hiddlen_layer_before_input_layer - should panic ... ok
[INFO] [stdout] test builder::test_nn_builder::panics_on_hidden_layer_with_invalid_weight_or_bias_dimensions ... ok
[INFO] [stdout] test tests::test_nn_using_more_hidden_layers_with_more_neurons_with_leaky_relu_and_momentum_opt ... ok
[INFO] [stdout] test tests::test_nn_using_more_hidden_layers_with_more_neurons_with_leaky_relu_and_adam_opt ... ok
[INFO] [stdout] test tests::test_nn_using_more_hidden_layers_with_more_neurons_with_relu_hidden_layers ... FAILED
[INFO] [stdout] test builder::test_nn_builder::cannot_add_output_layer_before_input_layer - should panic ... ok
[INFO] [stdout] test tests::test_fan_in_fan_out ... ok
[INFO] [stdout] test tests::simple_jelu_test ... ok
[INFO] [stdout] test tests::simple_leaky_relu_test ... ok
[INFO] [stdout] test tests::simple_test_to_get_elu_sorted_out ... ok
[INFO] [stdout] test tests::test_nn_using_more_hidden_layers_with_more_neurons ... ok
[INFO] [stdout] test tests::test_nn_using_constructor_for_random_initial_weights_and_biases ... ok
[INFO] [stdout] test tests::test_nn ... ok
[INFO] [stdout] 
[INFO] [stdout] failures:
[INFO] [stdout] 
[INFO] [stdout] ---- tests::test_nn_using_more_hidden_layers_with_more_neurons_with_relu_hidden_layers stdout ----
[INFO] [stdout] XavierNormalHOMLForSigmoid: fan_in: 2
[INFO] [stdout] XavierNormalHOMLForSigmoid: fan_out: 16
[INFO] [stdout] XavierNormalHOMLForSigmoid: fan_avg: 9
[INFO] [stdout] XavierNormalHOMLForSigmoid: using std dev 0.3333333333333333
[INFO] [stdout] XavierNormalHOMLForSigmoid: fan_in: 16
[INFO] [stdout] XavierNormalHOMLForSigmoid: fan_out: 16
[INFO] [stdout] XavierNormalHOMLForSigmoid: fan_avg: 16
[INFO] [stdout] XavierNormalHOMLForSigmoid: using std dev 0.25
[INFO] [stdout] initial weights:
[INFO] [stdout] ╭                                                                                                                                                 ╮
[INFO] [stdout] │ 0.175880 0.004008 -0.420483 0.148659 -0.320174 0.029323 0.070628 0.371508 0.529577 0.091817 -0.131808 0.425240 0.362170 0.212747 0.580540 -0.022906 │
[INFO] [stdout] │ 0.231236 -0.292388 -0.121203 0.274674 -0.211470 -0.208206 0.640638 -0.143712 0.013074 -0.427368 0.238311 0.118684 -0.109078 0.063854 -0.404596 -0.067820 │
[INFO] [stdout] │ 0.003559 0.004715 0.376705 -0.322571 -0.220735 0.202994 0.138073 -0.134863 -0.052056 0.493613 -0.138224 0.102557 -0.065346 0.080820 -0.125175 0.230101 │
[INFO] [stdout] │ -0.368148 -0.034153 -0.220611 -0.074631 -0.393633 0.214978 0.245409 -0.111731 0.353573 0.487734 0.167886 -0.020019 0.010001 0.375982 0.271216 0.188648 │
[INFO] [stdout] │ -0.045345 0.345627 -0.335822 0.671739 -0.045906 -0.094893 0.494565 -0.181469 -0.042092 0.271644 -0.518416 -0.396132 0.094972 0.156990 -0.129741 -0.068616 │
[INFO] [stdout] │ -0.694978 0.038058 0.194056 -0.045158 -0.144907 0.049695 0.058391 0.095929 0.262683 0.161525 -0.117193 0.059499 -0.151513 -0.156854 0.096709 -0.259813 │
[INFO] [stdout] │ -0.366611 0.419065 0.267274 -0.244952 -0.008982 -0.581911 -0.174624 0.220070 -0.269524 0.115529 0.159982 -0.110262 0.007233 -0.046914 0.138974 0.292723 │
[INFO] [stdout] │ -0.324371 0.087814 -0.047712 0.904786 -0.167329 -0.185798 0.218904 0.003775 0.244828 0.153411 0.044097 -0.321746 0.443063 -0.201630 -0.054004 -0.266928 │
[INFO] [stdout] │ 0.294317 -0.193720 0.081068 0.067792 0.055391 0.142043 0.116988 -0.073542 -0.327284 -0.301897 -0.021309 -0.037719 -0.137539 -0.425638 -0.355976 -0.304683 │
[INFO] [stdout] │ 0.234826 0.017558 0.060316 -0.099714 0.380643 0.135516 -0.244873 -0.102075 -0.335983 -0.200077 -0.148296 0.242844 0.195282 0.000055 0.090318 -0.615627 │
[INFO] [stdout] │ 0.139987 0.085086 -0.155684 -0.412487 -0.037408 -0.121246 -0.437432 -0.015160 0.122529 0.056690 0.095967 0.198237 -0.237505 0.239552 0.159122 0.046068 │
[INFO] [stdout] │ -0.279853 0.019322 -0.146634 -0.732867 -0.265522 0.423183 0.008555 0.393237 -0.250616 0.089406 0.250412 -0.301370 0.094298 0.260375 -0.064332 0.250974 │
[INFO] [stdout] │ -0.523823 0.308712 -0.178420 -0.169888 0.522089 0.458655 0.121495 0.559705 -0.463153 -0.045754 -0.170236 0.107391 0.038241 -0.030201 0.174716 -0.182035 │
[INFO] [stdout] │ 0.485499 0.448452 -0.105776 0.224865 0.018114 0.311293 0.037326 0.269940 -0.286924 -0.427036 0.365014 0.234262 -0.094705 0.162782 0.098830 0.176883 │
[INFO] [stdout] │ -0.300369 -0.030477 0.070175 0.119774 0.200058 0.068604 0.172459 0.231104 -0.159857 0.033975 -0.390061 0.112521 -0.183751 0.175682 0.176702 -0.216901 │
[INFO] [stdout] │ 0.248788 -0.299218 -0.098741 0.224052 0.662546 -0.369486 -0.090196 0.166014 0.047923 -0.070663 -0.252136 0.231035 -0.395917 -0.234674 -0.501782 -0.052473 │
[INFO] [stdout] ╰                                                                                                                                                 ╯
[INFO] [stdout] 
[INFO] [stdout] ╭                   ╮
[INFO] [stdout] │ -0.238744 -0.388575 │
[INFO] [stdout] │ 0.337202 -0.058959 │
[INFO] [stdout] │ 0.251174 -0.247135 │
[INFO] [stdout] │ 0.995662 -0.334501 │
[INFO] [stdout] │ -0.118112 -0.027306 │
[INFO] [stdout] │ -0.245612 -0.061436 │
[INFO] [stdout] │ 0.034269 -0.391255 │
[INFO] [stdout] │ 0.310048 0.398364 │
[INFO] [stdout] │ -0.220512 0.189738 │
[INFO] [stdout] │ -0.213744 -0.337709 │
[INFO] [stdout] │ -0.605988 -0.321283 │
[INFO] [stdout] │ 0.642904 -0.149601 │
[INFO] [stdout] │ 0.118959 -0.756500 │
[INFO] [stdout] │ 0.033509 -0.708639 │
[INFO] [stdout] │ 0.067325 -0.406992 │
[INFO] [stdout] │ 0.018420 -0.012854 │
[INFO] [stdout] ╰                   ╯
[INFO] [stdout] 
[INFO] [stdout] ╭                                                                                                                                                 ╮
[INFO] [stdout] │ 1.934438 1.357786 1.866138 0.913208 -0.569400 -1.146801 -1.207616 0.026470 0.507690 2.850942 0.517549 -0.106531 -0.253503 -0.136069 -1.548760 -0.459666 │
[INFO] [stdout] ╰                                                                                                                                                 ╯
[INFO] [stdout] 
[INFO] [stdout] initial biases:
[INFO] [stdout] ╭          ╮
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] ╰          ╯
[INFO] [stdout] 
[INFO] [stdout] ╭          ╮
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] │ 0.000000 │
[INFO] [stdout] ╰          ╯
[INFO] [stdout] 
[INFO] [stdout] ╭          ╮
[INFO] [stdout] │ 1.570193 │
[INFO] [stdout] ╰          ╯
[INFO] [stdout] 
[INFO] [stdout] computing initial cross accross entire training dataset...
[INFO] [stdout] initial cost across entire training set: 0.253670343861303
[INFO] [stdout] t_init_cost: t_init_cost: 6 ms
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 4 ms
[INFO] [stdout] finished ff for all training points - epoch 0
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 0: t_compute_gradients: 11 ms
[INFO] [stdout] cost across training set after epoch 0: 0.2502061530044771
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 4 ms
[INFO] [stdout] finished ff for all training points - epoch 1
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 1: t_compute_gradients: 21 ms
[INFO] [stdout] cost across training set after epoch 1: 0.24947524270408553
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 1 ms
[INFO] [stdout] finished ff for all training points - epoch 2
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 2: t_compute_gradients: 2 ms
[INFO] [stdout] cost across training set after epoch 2: 0.2487210617298532
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 0 ms
[INFO] [stdout] finished ff for all training points - epoch 3
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 3: t_compute_gradients: 2 ms
[INFO] [stdout] cost across training set after epoch 3: 0.24787286001408435
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 0 ms
[INFO] [stdout] finished ff for all training points - epoch 4
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 4: t_compute_gradients: 4 ms
[INFO] [stdout] cost across training set after epoch 4: 0.24602870297584695
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 0 ms
[INFO] [stdout] finished ff for all training points - epoch 5
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 5: t_compute_gradients: 30 ms
[INFO] [stdout] cost across training set after epoch 5: 0.24144046350725984
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 0 ms
[INFO] [stdout] finished ff for all training points - epoch 6
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 6: t_compute_gradients: 4 ms
[INFO] [stdout] cost across training set after epoch 6: 0.22798647138453854
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 13 ms
[INFO] [stdout] finished ff for all training points - epoch 7
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 7: t_compute_gradients: 15 ms
[INFO] [stdout] cost across training set after epoch 7: 0.17477613536405315
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 0 ms
[INFO] [stdout] finished ff for all training points - epoch 8
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 8: t_compute_gradients: 4 ms
[INFO] [stdout] cost across training set after epoch 8: 0.14615397090737725
[INFO] [stdout] 
[INFO] [stdout] starting mini batch from 0 to 20
[INFO] [stdout] t_mini_batch_ff (all data points): t_mini_batch_ff: 0 ms
[INFO] [stdout] finished ff for all training points - epoch 9
[INFO] [stdout] computing gradients...
[INFO] [stdout] t_compute_gradients epoch 9: t_compute_gradients: 14 ms
[INFO] [stdout] cost across training set after epoch 9: 0.15242923899871785
[INFO] [stdout] 
[INFO] [stdout] thread 'tests::test_nn_using_more_hidden_layers_with_more_neurons_with_relu_hidden_layers' (214) panicked at test6-nn/src/lib.rs:971:21:
[INFO] [stdout] cost across training set increased from 0.14615397090737725 to 0.15242923899871785 on epoc 9
[INFO] [stdout] stack backtrace:
[INFO] [stdout]    0:     0x591b4d8ba04a - std[ec4e911328de40a6]::backtrace_rs::backtrace::libunwind::trace
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/../../backtrace/src/backtrace/libunwind.rs:117:9
[INFO] [stdout]    1:     0x591b4d8ba04a - std[ec4e911328de40a6]::backtrace_rs::backtrace::trace_unsynchronized::<std[ec4e911328de40a6]::sys::backtrace::_print_fmt::{closure#1}>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/../../backtrace/src/backtrace/mod.rs:66:14
[INFO] [stdout]    2:     0x591b4d8ba04a - std[ec4e911328de40a6]::sys::backtrace::_print_fmt
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/sys/backtrace.rs:74:9
[INFO] [stdout]    3:     0x591b4d8ba04a - <<std[ec4e911328de40a6]::sys::backtrace::BacktraceLock>::print::DisplayBacktrace as core[a96a4c5c53f902a3]::fmt::Display>::fmt
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/sys/backtrace.rs:44:26
[INFO] [stdout]    4:     0x591b4d8cf4ca - <core[a96a4c5c53f902a3]::fmt::rt::Argument>::fmt
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/core/src/fmt/rt.rs:152:76
[INFO] [stdout]    5:     0x591b4d8cf4ca - core[a96a4c5c53f902a3]::fmt::write
[INFO] [stdout]    6:     0x591b4d8beb62 - std[ec4e911328de40a6]::io::default_write_fmt::<alloc[c960326de6de28e6]::vec::Vec<u8>>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/io/mod.rs:639:11
[INFO] [stdout]    7:     0x591b4d8beb62 - <alloc[c960326de6de28e6]::vec::Vec<u8> as std[ec4e911328de40a6]::io::Write>::write_fmt
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/io/mod.rs:1994:13
[INFO] [stdout]    8:     0x591b4d89891f - <std[ec4e911328de40a6]::sys::backtrace::BacktraceLock>::print
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/sys/backtrace.rs:47:9
[INFO] [stdout]    9:     0x591b4d89891f - std[ec4e911328de40a6]::panicking::default_hook::{closure#0}
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panicking.rs:292:27
[INFO] [stdout]   10:     0x591b4d8b1fb9 - std[ec4e911328de40a6]::panicking::default_hook
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panicking.rs:316:9
[INFO] [stdout]   11:     0x591b4d7b4a1c - <alloc[c960326de6de28e6]::boxed::Box<dyn for<'a, 'b> core[a96a4c5c53f902a3]::ops::function::Fn<(&'a std[ec4e911328de40a6]::panic::PanicHookInfo<'b>,), Output = ()> + core[a96a4c5c53f902a3]::marker::Sync + core[a96a4c5c53f902a3]::marker::Send> as core[a96a4c5c53f902a3]::ops::function::Fn<(&std[ec4e911328de40a6]::panic::PanicHookInfo,)>>::call
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/alloc/src/boxed.rs:2254:9
[INFO] [stdout]   12:     0x591b4d7b4a1c - test[30c43f9fd66fea90]::test_main_with_exit_callback::<test[30c43f9fd66fea90]::test_main::{closure#0}>::{closure#0}
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/test/src/lib.rs:145:21
[INFO] [stdout]   13:     0x591b4d8b2232 - <alloc[c960326de6de28e6]::boxed::Box<dyn for<'a, 'b> core[a96a4c5c53f902a3]::ops::function::Fn<(&'a std[ec4e911328de40a6]::panic::PanicHookInfo<'b>,), Output = ()> + core[a96a4c5c53f902a3]::marker::Sync + core[a96a4c5c53f902a3]::marker::Send> as core[a96a4c5c53f902a3]::ops::function::Fn<(&std[ec4e911328de40a6]::panic::PanicHookInfo,)>>::call
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/alloc/src/boxed.rs:2254:9
[INFO] [stdout]   14:     0x591b4d8b2232 - std[ec4e911328de40a6]::panicking::panic_with_hook
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panicking.rs:833:13
[INFO] [stdout]   15:     0x591b4d8989d8 - std[ec4e911328de40a6]::panicking::panic_handler::{closure#0}
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panicking.rs:698:13
[INFO] [stdout]   16:     0x591b4d890349 - std[ec4e911328de40a6]::sys::backtrace::__rust_end_short_backtrace::<std[ec4e911328de40a6]::panicking::panic_handler::{closure#0}, !>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/sys/backtrace.rs:182:18
[INFO] [stdout]   17:     0x591b4d8996ed - __rustc[aa69f48705c57ca8]::rust_begin_unwind
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panicking.rs:689:5
[INFO] [stdout]   18:     0x591b4d8cfc5c - core[a96a4c5c53f902a3]::panicking::panic_fmt
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/core/src/panicking.rs:80:14
[INFO] [stdout]   19:     0x591b4d78706c - <test6_nn[5996d0933d3e119e]::SimpleNeuralNetwork>::train_stochastic
[INFO] [stdout]                                at /opt/rustwide/workdir/test6-nn/src/lib.rs:971:21
[INFO] [stdout]   20:     0x591b4d74c162 - test6_nn[5996d0933d3e119e]::tests::test_nn_using_more_hidden_layers_with_more_neurons_with_relu_hidden_layers
[INFO] [stdout]                                at /opt/rustwide/workdir/test6-nn/src/lib.rs:2223:12
[INFO] [stdout]   21:     0x591b4d73b247 - test6_nn[5996d0933d3e119e]::tests::test_nn_using_more_hidden_layers_with_more_neurons_with_relu_hidden_layers::{closure#0}
[INFO] [stdout]                                at /opt/rustwide/workdir/test6-nn/src/lib.rs:2170:84
[INFO] [stdout]   22:     0x591b4d7a04a6 - <test6_nn[5996d0933d3e119e]::tests::test_nn_using_more_hidden_layers_with_more_neurons_with_relu_hidden_layers::{closure#0} as core[a96a4c5c53f902a3]::ops::function::FnOnce<()>>::call_once
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/core/src/ops/function.rs:250:5
[INFO] [stdout]   23:     0x591b4d7a8afb - <fn() -> core[a96a4c5c53f902a3]::result::Result<(), alloc[c960326de6de28e6]::string::String> as core[a96a4c5c53f902a3]::ops::function::FnOnce<()>>::call_once
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/core/src/ops/function.rs:250:5
[INFO] [stdout]   24:     0x591b4d7a8afb - test[30c43f9fd66fea90]::__rust_begin_short_backtrace::<core[a96a4c5c53f902a3]::result::Result<(), alloc[c960326de6de28e6]::string::String>, fn() -> core[a96a4c5c53f902a3]::result::Result<(), alloc[c960326de6de28e6]::string::String>>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/test/src/lib.rs:663:18
[INFO] [stdout]   25:     0x591b4d7b54eb - test[30c43f9fd66fea90]::run_test_in_process::{closure#0}
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/test/src/lib.rs:686:74
[INFO] [stdout]   26:     0x591b4d7b54eb - <core[a96a4c5c53f902a3]::panic::unwind_safe::AssertUnwindSafe<test[30c43f9fd66fea90]::run_test_in_process::{closure#0}> as core[a96a4c5c53f902a3]::ops::function::FnOnce<()>>::call_once
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/core/src/panic/unwind_safe.rs:275:9
[INFO] [stdout]   27:     0x591b4d7b54eb - std[ec4e911328de40a6]::panicking::catch_unwind::do_call::<core[a96a4c5c53f902a3]::panic::unwind_safe::AssertUnwindSafe<test[30c43f9fd66fea90]::run_test_in_process::{closure#0}>, core[a96a4c5c53f902a3]::result::Result<(), alloc[c960326de6de28e6]::string::String>>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panicking.rs:581:40
[INFO] [stdout]   28:     0x591b4d7b54eb - std[ec4e911328de40a6]::panicking::catch_unwind::<core[a96a4c5c53f902a3]::result::Result<(), alloc[c960326de6de28e6]::string::String>, core[a96a4c5c53f902a3]::panic::unwind_safe::AssertUnwindSafe<test[30c43f9fd66fea90]::run_test_in_process::{closure#0}>>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panicking.rs:544:19
[INFO] [stdout]   29:     0x591b4d7b54eb - std[ec4e911328de40a6]::panic::catch_unwind::<core[a96a4c5c53f902a3]::panic::unwind_safe::AssertUnwindSafe<test[30c43f9fd66fea90]::run_test_in_process::{closure#0}>, core[a96a4c5c53f902a3]::result::Result<(), alloc[c960326de6de28e6]::string::String>>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panic.rs:359:14
[INFO] [stdout]   30:     0x591b4d7b54eb - test[30c43f9fd66fea90]::run_test_in_process
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/test/src/lib.rs:686:27
[INFO] [stdout]   31:     0x591b4d7b54eb - test[30c43f9fd66fea90]::run_test::{closure#0}
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/test/src/lib.rs:607:43
[INFO] [stdout]   32:     0x591b4d7b0c04 - test[30c43f9fd66fea90]::run_test::{closure#1}
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/test/src/lib.rs:637:41
[INFO] [stdout]   33:     0x591b4d7b0c04 - std[ec4e911328de40a6]::sys::backtrace::__rust_begin_short_backtrace::<test[30c43f9fd66fea90]::run_test::{closure#1}, ()>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/sys/backtrace.rs:166:18
[INFO] [stdout]   34:     0x591b4d7b80f2 - std[ec4e911328de40a6]::thread::lifecycle::spawn_unchecked::<test[30c43f9fd66fea90]::run_test::{closure#1}, ()>::{closure#1}::{closure#0}
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/thread/lifecycle.rs:91:13
[INFO] [stdout]   35:     0x591b4d7b80f2 - <core[a96a4c5c53f902a3]::panic::unwind_safe::AssertUnwindSafe<std[ec4e911328de40a6]::thread::lifecycle::spawn_unchecked<test[30c43f9fd66fea90]::run_test::{closure#1}, ()>::{closure#1}::{closure#0}> as core[a96a4c5c53f902a3]::ops::function::FnOnce<()>>::call_once
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/core/src/panic/unwind_safe.rs:275:9
[INFO] [stdout]   36:     0x591b4d7b80f2 - std[ec4e911328de40a6]::panicking::catch_unwind::do_call::<core[a96a4c5c53f902a3]::panic::unwind_safe::AssertUnwindSafe<std[ec4e911328de40a6]::thread::lifecycle::spawn_unchecked<test[30c43f9fd66fea90]::run_test::{closure#1}, ()>::{closure#1}::{closure#0}>, ()>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panicking.rs:581:40
[INFO] [stdout]   37:     0x591b4d7b80f2 - std[ec4e911328de40a6]::panicking::catch_unwind::<(), core[a96a4c5c53f902a3]::panic::unwind_safe::AssertUnwindSafe<std[ec4e911328de40a6]::thread::lifecycle::spawn_unchecked<test[30c43f9fd66fea90]::run_test::{closure#1}, ()>::{closure#1}::{closure#0}>>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panicking.rs:544:19
[INFO] [stdout]   38:     0x591b4d7b80f2 - std[ec4e911328de40a6]::panic::catch_unwind::<core[a96a4c5c53f902a3]::panic::unwind_safe::AssertUnwindSafe<std[ec4e911328de40a6]::thread::lifecycle::spawn_unchecked<test[30c43f9fd66fea90]::run_test::{closure#1}, ()>::{closure#1}::{closure#0}>, ()>
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/panic.rs:359:14
[INFO] [stdout]   39:     0x591b4d7b80f2 - std[ec4e911328de40a6]::thread::lifecycle::spawn_unchecked::<test[30c43f9fd66fea90]::run_test::{closure#1}, ()>::{closure#1}
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/thread/lifecycle.rs:89:26
[INFO] [stdout]   40:     0x591b4d7b80f2 - <std[ec4e911328de40a6]::thread::lifecycle::spawn_unchecked<test[30c43f9fd66fea90]::run_test::{closure#1}, ()>::{closure#1} as core[a96a4c5c53f902a3]::ops::function::FnOnce<()>>::call_once::{shim:vtable#0}
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/core/src/ops/function.rs:250:5
[INFO] [stdout]   41:     0x591b4d8b974f - <alloc[c960326de6de28e6]::boxed::Box<dyn core[a96a4c5c53f902a3]::ops::function::FnOnce<(), Output = ()> + core[a96a4c5c53f902a3]::marker::Send> as core[a96a4c5c53f902a3]::ops::function::FnOnce<()>>::call_once
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/alloc/src/boxed.rs:2240:9
[INFO] [stdout]   42:     0x591b4d8b974f - <std[ec4e911328de40a6]::sys::thread::unix::Thread>::new::thread_start
[INFO] [stdout]                                at /rustc/0abe69e6c16114311cc2700e972492e64d69c28f/library/std/src/sys/thread/unix.rs:118:17
[INFO] [stdout]   43:     0x71109d28eaa4 - <unknown>
[INFO] [stdout]   44:     0x71109d31ba64 - clone
[INFO] [stdout]   45:                0x0 - <unknown>
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] failures:
[INFO] [stdout]     tests::test_nn_using_more_hidden_layers_with_more_neurons_with_relu_hidden_layers
[INFO] [stdout] 
[INFO] [stdout] test result: FAILED. 59 passed; 1 failed; 0 ignored; 0 measured; 0 filtered out; finished in 44.49s
[INFO] [stdout] 
[INFO] [stderr] (took PT0.132897238S) (took PT0.176242735S) (took PT0.173111335S) (took PT15.216910902S) (took PT25.132665215S) (took PT44.481334672S) error: test failed, to rerun pass `-p test6-nn --lib`
[INFO] running `Command { std: "docker" "inspect" "c5174fb6cc14576b9e2dd26dbf91058305fe953630c73068cc9d418967789d19", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "c5174fb6cc14576b9e2dd26dbf91058305fe953630c73068cc9d418967789d19", kill_on_drop: false }`
[INFO] [stdout] c5174fb6cc14576b9e2dd26dbf91058305fe953630c73068cc9d418967789d19
