[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 }`
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[INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }`
[INFO] [stdout] c4c2539f42a371031368d45b92d7a75516ec12f0
[INFO] testing maxjeffos/rust-neural-network-experiments against 1.94.0 for beta-1.95-1
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fmaxjeffos%2Frust-neural-network-experiments" "/workspace/builds/worker-3-tc1/source", kill_on_drop: false }`
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[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-3-tc1/source/Cargo.toml
[INFO] validating manifest of git repo https://github.com/maxjeffos/rust-neural-network-experiments on toolchain 1.94.0
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.94.0" "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" "+1.94.0" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
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[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]     Updating crates.io index
[INFO] [stderr]  Downloading crates ...
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[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/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" "+1.94.0" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] 85fc61342b4ef62655338684d9b376c2dbfc82ea8ae23af49f8d0585a0bbd08c
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[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 autocfg v1.0.1
[INFO] [stderr]    Compiling libc v0.2.112
[INFO] [stderr]    Compiling libm v0.2.1
[INFO] [stderr]    Compiling crossbeam-utils v0.8.6
[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 either v1.6.1
[INFO] [stderr]    Compiling proc-macro2 v1.0.36
[INFO] [stderr]    Compiling unicode-xid v0.2.2
[INFO] [stderr]    Compiling syn v1.0.85
[INFO] [stderr]    Compiling serde v1.0.136
[INFO] [stderr]    Compiling rawpointer v0.2.1
[INFO] [stderr]    Compiling matrixmultiply v0.3.2
[INFO] [stderr]    Compiling serde_derive v1.0.136
[INFO] [stderr]    Compiling num-traits v0.2.14
[INFO] [stderr]    Compiling memoffset v0.6.5
[INFO] [stderr]    Compiling crossbeam-channel v0.5.2
[INFO] [stderr]    Compiling rayon v1.5.1
[INFO] [stderr]    Compiling num-integer v0.1.44
[INFO] [stderr]    Compiling getrandom v0.2.4
[INFO] [stderr]    Compiling crossbeam-deque v0.8.1
[INFO] [stderr]    Compiling num_cpus v1.13.1
[INFO] [stderr]    Compiling rand_core v0.6.3
[INFO] [stderr]    Compiling quote v1.0.14
[INFO] [stderr]    Compiling serde_json v1.0.78
[INFO] [stderr]    Compiling byteorder v1.4.3
[INFO] [stderr]    Compiling rand_chacha v0.3.1
[INFO] [stderr]    Compiling num-complex v0.4.0
[INFO] [stderr]    Compiling ryu v1.0.9
[INFO] [stderr]    Compiling mnist v0.5.0
[INFO] [stderr]    Compiling itoa v1.0.1
[INFO] [stderr]    Compiling rand v0.8.4
[INFO] [stderr]    Compiling anyhow v1.0.82
[INFO] [stderr]    Compiling autodiff v0.4.0
[INFO] [stderr]    Compiling ndarray v0.15.4
[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 rand_distr v0.4.2
[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 test7-nn-mnist-classifier v0.1.0 (/opt/rustwide/workdir/test7-nn-mnist-classifier)
[INFO] [stderr]    Compiling test6-nn v0.1.0 (/opt/rustwide/workdir/test6-nn)
[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 35.99s
[INFO] running `Command { std: "docker" "inspect" "6e570ef174ae1de65a40d99f901f10e4929f0d03b4537281b7ff57af80f0373f", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "6e570ef174ae1de65a40d99f901f10e4929f0d03b4537281b7ff57af80f0373f", kill_on_drop: false }`
[INFO] [stdout] 6e570ef174ae1de65a40d99f901f10e4929f0d03b4537281b7ff57af80f0373f
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/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=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-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" "+1.94.0" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] a83d4d17e0accf8dcc592b8be2ff832f4a238549ffd1c19b55bb27749c025ca8
[INFO] running `Command { std: "docker" "start" "-a" "a83d4d17e0accf8dcc592b8be2ff832f4a238549ffd1c19b55bb27749c025ca8", 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] [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 time v0.1.43
[INFO] [stderr]    Compiling common v0.1.0 (/opt/rustwide/workdir/common)
[INFO] [stderr]    Compiling mnist-data v0.1.0 (/opt/rustwide/workdir/mnist-data)
[INFO] [stderr]    Compiling test5-playing-with-matrix-ideas v0.1.0 (/opt/rustwide/workdir/test5-playing-with-matrix-ideas)
[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 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] [stderr]    Compiling test3-simple-linear-regression v0.1.0 (/opt/rustwide/workdir/test3-simple-linear-regression)
[INFO] [stderr]    Compiling test1-autodiff v0.1.0 (/opt/rustwide/workdir/test1-autodiff)
[INFO] [stderr]    Compiling metrics v0.1.0 (/opt/rustwide/workdir/metrics)
[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 test4-multivariable-regression v0.1.0 (/opt/rustwide/workdir/test4-multivariable-regression)
[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] [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 time-test v0.2.2
[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: 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: 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: 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]    --> 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]    --> 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 6.95s
[INFO] running `Command { std: "docker" "inspect" "a83d4d17e0accf8dcc592b8be2ff832f4a238549ffd1c19b55bb27749c025ca8", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "a83d4d17e0accf8dcc592b8be2ff832f4a238549ffd1c19b55bb27749c025ca8", kill_on_drop: false }`
[INFO] [stdout] a83d4d17e0accf8dcc592b8be2ff832f4a238549ffd1c19b55bb27749c025ca8
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/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=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-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" "+1.94.0" "test" "--frozen", kill_on_drop: false }`
[INFO] [stdout] f32cf0465606031daa4fc7a7db547be1de4a64d598bfba5c7e56b0a77854a692
[INFO] running `Command { std: "docker" "start" "-a" "f32cf0465606031daa4fc7a7db547be1de4a64d598bfba5c7e56b0a77854a692", 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: 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: 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: 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: 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: `test1-autodiff` (bin "test1-autodiff" test) generated 1 warning
[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: `common` (lib test) generated 2 warnings (2 duplicates)
[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] [stderr] 1074 |     fn unroll_gradients(
[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]    --> 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] [stderr]     |
[INFO] [stderr]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[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: `test7-nn-mnist-classifier` (lib) generated 6 warnings (run `cargo fix --lib -p test7-nn-mnist-classifier` to apply 1 suggestion)
[INFO] [stderr] warning: `test6-nn` (lib) generated 8 warnings (run `cargo fix --lib -p test6-nn` to apply 1 suggestion)
[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] [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] [stderr] warning: unused `Result` that must be used
[INFO] [stderr]    --> test6-nn/src/main.rs:92:5
[INFO] [stderr]     |
[INFO] [stderr]  92 | /     nn.train_stochastic(
[INFO] [stderr]  93 | |         &training_data,
[INFO] [stderr]  94 | |         10_000,
[INFO] [stderr] ...   |
[INFO] [stderr] 103 | |         Some(session_logger),
[INFO] [stderr] 104 | |     );
[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]  92 |     let _ = nn.train_stochastic(
[INFO] [stderr]     |     +++++++
[INFO] [stderr] 
[INFO] [stderr] warning: unused `Result` that must be used
[INFO] [stderr]    --> test7-nn-mnist-classifier/src/main.rs:99:5
[INFO] [stderr]     |
[INFO] [stderr]  99 | /     nn.train_stochastic(
[INFO] [stderr] 100 | |         &training_data,
[INFO] [stderr] 101 | |         10_000,
[INFO] [stderr] ...   |
[INFO] [stderr] 110 | |         Some(session_logger),
[INFO] [stderr] 111 | |     );
[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]  99 |     let _ = nn.train_stochastic(
[INFO] [stderr]     |     +++++++
[INFO] [stderr] 
[INFO] [stderr] warning: `test6-nn` (bin "test6-nn" test) generated 1 warning
[INFO] [stderr] warning: `test7-nn-mnist-classifier` (bin "test7-nn-mnist-classifier" test) generated 1 warning
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 0.10s
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/common-5f1fc8fa0a43f849)
[INFO] [stdout] 
[INFO] [stdout] running 104 tests
[INFO] [stdout] test linalg::column_vector_tests::add_mut_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::can_create_a_column_vector_and_use_from_and_into ... ok
[INFO] [stdout] test linalg::column_vector_tests::div_scalar_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::dot_product_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::empty_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::fill_new_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::hadamard_product_chaining_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::hadamard_product_in_place_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::elementwise_divide_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::into_value_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::mult_by_matrix_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::new_zero_vector_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::div_scalar_mut_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::test_add_scalar_to_each_element_in_place ... ok
[INFO] [stdout] test linalg::column_vector_tests::plus_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::subtract_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::hadamard_product_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::test_can_iterate_over_column_vector ... ok
[INFO] [stdout] test linalg::column_vector_tests::test_elementwise_square_root_in_place ... ok
[INFO] [stdout] test linalg::column_vector_tests::test_mult_scalar_mut ... ok
[INFO] [stdout] test linalg::column_vector_tests::elementwise_divide_in_place_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::test_outer_product ... ok
[INFO] [stdout] test linalg::column_vector_tests::test_vec_length ... ok
[INFO] [stdout] test linalg::column_vector_tests::transpose_into_row_vector_matrix_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::transpose_works ... ok
[INFO] [stdout] test linalg::columns_matrix_builder_tests::test_columns_matrix_builder_with_chaining ... ok
[INFO] [stdout] test linalg::columns_matrix_builder_tests::test_columns_matrix_builder_with_non_chaining ... ok
[INFO] [stdout] test linalg::rows_matrix_builder_tests::test_row_matrix_builder_with_non_chaining ... ok
[INFO] [stdout] test linalg::rows_matrix_builder_tests::test_rows_matrix_builder_with_chaining ... ok
[INFO] [stdout] test linalg::test_components_in_the_module_root::test_euclidian_distance ... ok
[INFO] [stdout] test linalg::test_components_in_the_module_root::test_euclidian_length ... ok
[INFO] [stdout] test linalg::tests::add_in_place_serial_works ... ok
[INFO] [stdout] test linalg::tests::add_in_place_par_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::minus_in_place_works ... ok
[INFO] [stdout] test linalg::column_vector_tests::test_basics ... ok
[INFO] [stdout] test linalg::tests::multiply_works ... ok
[INFO] [stdout] test linalg::tests::can_add_rows_and_get_values_at_specified_indexes ... ok
[INFO] [stdout] test linalg::tests::new_identity_matrix_works ... ok
[INFO] [stdout] test linalg::tests::push_column_works ... ok
[INFO] [stdout] test linalg::tests::plus_works ... ok
[INFO] [stdout] test linalg::tests::set_and_get_work ... ok
[INFO] [stdout] test linalg::tests::subtract ... ok
[INFO] [stdout] test linalg::tests::test_add_scalar_to_each_element_in_place ... 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_square_root_in_place ... ok
[INFO] [stdout] test linalg::tests::test_elementwise_divide_product_in_place ... ok
[INFO] [stdout] test linalg::tests::test_extract_column ... ok
[INFO] [stdout] test linalg::tests::test_div_scalar ... 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_hadamard_product_chaining ... ok
[INFO] [stdout] test linalg::tests::test_hadamard_product_in_place ... ok
[INFO] [stdout] test linalg::tests::test_matrix_vector_multiplication ... ok
[INFO] [stdout] test linalg::tests::test_mult_scalar_mut ... 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_subtract_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::transpose_works ... ok
[INFO] [stdout] test linalg::tests::transpose_works_for_column_vector ... ok
[INFO] [stdout] test old_matrix::columns_matrix_builder_tests::test_columns_matrix_builder_with_non_chaining ... ok
[INFO] [stdout] test old_matrix::columns_matrix_builder_tests::test_columns_matrix_builder_with_chaining ... ok
[INFO] [stdout] test old_matrix::tests::add_in_place_works ... ok
[INFO] [stdout] test old_matrix::rows_matrix_builder_tests::test_rows_matrix_builder_with_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::minus_works ... ok
[INFO] [stdout] test old_matrix::tests::can_add_rows_and_get_values_at_specified_indexes ... ok
[INFO] [stdout] test old_matrix::tests::multiply_works ... ok
[INFO] [stdout] test old_matrix::tests::new_identity_matrix_works ... ok
[INFO] [stdout] test old_matrix::tests::plus_works ... 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_extract_column ... ok
[INFO] [stdout] test old_matrix::tests::test_from_columns ... ok
[INFO] [stdout] test old_matrix::tests::test_hadamard_product ... ok
[INFO] [stdout] test old_matrix::tests::test_hadamard_product_in_place ... ok
[INFO] [stdout] test old_matrix::tests::test_matrix_vector_multiplication ... ok
[INFO] [stdout] test old_matrix::tests::test_multiply_by_scalar ... ok
[INFO] [stdout] test old_matrix::tests::test_multiply_by_scalar_in_place ... ok
[INFO] [stdout] test old_matrix::tests::test_vec_length ... ok
[INFO] [stdout] test old_matrix::tests::transpose_of_column_vector_mult_by_column_vector_works ... 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 linalg::tests::add_mut_works ... ok
[INFO] [stdout] test point::tests::it_works ... 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_off_diagonal ... ok
[INFO] [stdout] test softmax::tests::test_softmax_derivative_uniform_input ... ok
[INFO] [stdout] test softmax::tests::test_softmax_numerical_stability ... 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 softmax::tests::test_softmax_sum_to_one ... ok
[INFO] [stdout] test linalg::column_vector_tests::multiply_by_scalar_works ... ok
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/metrics-4490270b78e0de9c)
[INFO] [stdout] test linalg::column_vector_tests::add_works ... ok
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/mnist_data-e51911f10060737b)
[INFO] [stdout] test linalg::column_vector_tests::test_can_do_double_iterate_over_column_vectors ... ok
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test1_autodiff-bae07164671e8042)
[INFO] [stdout] test linalg::column_vector_tests::test_can_iterate_mutably_over_column_vector ... ok
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test2_mlp_classifier-ce266dd9dc097ac6)
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 104 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.07s
[INFO] [stdout] 
[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] [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] [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] [stdout] 
[INFO] [stdout] running 0 tests
[INFO] [stdout] 
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test3_simple_linear_regression-838b7d8698d5157a)
[INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] running 1 test
[INFO] [stdout] test tests::it_yields_the_correct_result ... ok
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test4_multivariable_regression-e35d563b34849739)
[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] [stdout] 
[INFO] [stdout] running 7 tests
[INFO] [stdout] test tests::hypothesis_v_works ... ok
[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_ex2 ... ok
[INFO] [stdout] test tests::it_yields_the_correct_result_for_2d ... ok
[INFO] [stderr]      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test5_playing_with_matrix_ideas-846f8acf13130531)
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/test6_nn-3882d81edd6b46a5)
[INFO] [stdout] test tests::it_yields_the_correct_result_for_3d_ex1 ... ok
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 7 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.01s
[INFO] [stdout] 
[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] [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::elu::tests::activate_works ... ok
[INFO] [stdout] test activation::activator::relu::tests::activate_works ... ok
[INFO] [stdout] test activation::activator::sigmoid::tests::activate_derivative_works ... ok
[INFO] [stdout] test activation::activator::sigmoid::tests::activate_works ... ok
[INFO] [stdout] test activation::activator::tests::activate_derivative_vector_works ... ok
[INFO] [stdout] test activation::activator::tests::activate_vector_works ... ok
[INFO] [stdout] test activation::elu::tests::activate_prime_works ... ok
[INFO] [stdout] test activation::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::elu::tests::activate_works ... ok
[INFO] [stdout] test activation::jelu::tests::test_activate ... ok
[INFO] [stdout] test activation::sigmoid::tests::activate_derivative_works ... ok
[INFO] [stdout] test activation::sigmoid::tests::activate_works ... ok
[INFO] [stdout] test big_theta::tests::create_big_theta_for_test_with_scale_factor_works ... ok
[INFO] [stdout] test big_theta::tests::create_big_theta_for_test_works ... ok
[INFO] [stdout] test big_theta::tests::test_divide_scalar_return_new_works ... ok
[INFO] [stdout] test big_theta::tests::test_add_in_place_works ... ok
[INFO] [stdout] test big_theta::tests::divide_scalar_works ... ok
[INFO] [stdout] test big_theta::tests::test_elementwise_divide_in_place_place_works ... ok
[INFO] [stdout] test big_theta::tests::test_elementwise_mult_in_place_place_works ... ok
[INFO] [stdout] test big_theta::tests::test_get_weights_matrix_mut ... ok
[INFO] [stdout] test big_theta::tests::test_mult_scalar_in_place_works ... ok
[INFO] [stdout] test activation::activator::jelu::tests::test_activate_derivative ... 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::activator::relu::tests::activate_prime_works ... ok
[INFO] [stdout] test big_theta::tests::test_mult_scalar_return_new_works ... ok
[INFO] [stdout] test activation::relu::tests::activate_prime_works ... ok
[INFO] [stdout] test activation::relu::tests::activate_works ... ok
[INFO] [stdout] test cost::tests::test_quadratic_cost_fn_dimension_mismatch ... 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 builder::test_nn_builder::test_nn_builder_manual_wb_values ... 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 tests::test_cost_single_tr_ex_multiple_output_neurons ... ok
[INFO] [stdout] test tests::test_cost_single_tr_ex_single_output_neuron ... ok
[INFO] [stdout] test tests::test_cost_for_training_set_iterative_impl ... ok
[INFO] [stdout] test tests::test_get_weight_matrix_shape ... ok
[INFO] [stdout] test builder::test_nn_builder::cannot_add_output_layer_before_input_layer - should panic ... ok
[INFO] [stdout] test builder::test_nn_builder::cannot_add_hiddlen_layer_before_input_layer - should panic ... ok
[INFO] [stdout] test tests::test_fan_in_fan_out ... 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_reshape_weights_and_biases ... ok
[INFO] [stdout] test tests::test_rev_layer_indexs_computation ... ok
[INFO] [stdout] test tests::test_unroll_gradients ... ok
[INFO] [stdout] test tests::test_unroll_weights_and_biases ... ok
[INFO] [stdout] test tests::test_z_vec ... ok
[INFO] [stdout] test tests::test_nn_using_more_hidden_layers_with_more_neurons_with_relu_hidden_layers ... ok
[INFO] [stdout] test tests::simple_jelu_test ... ok
[INFO] [stdout] test tests::simple_test_to_get_elu_sorted_out ... ok
[INFO] [stdout] test tests::simple_leaky_relu_test ... 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] test result: ok. 60 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 31.99s
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr] (took PT0.109662486S) (took PT0.277519163S) (took PT1.548716628S) (took PT11.306000153S) (took PT15.040871005S) (took PT31.977723572S)      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test6_nn-b017e7781f6ed6ee)
[INFO] [stdout] running 0 tests
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/test7_nn_mnist_classifier-f0be08af403f1a66)
[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] [stdout] 
[INFO] [stdout] running 45 tests
[INFO] [stdout] test activation::leaky_relu::tests::activate_works ... ok
[INFO] [stdout] test activation::relu::tests::activate_works ... ok
[INFO] [stdout] test activation::sigmoid::tests::activate_derivative_works ... ok
[INFO] [stdout] test activation::sigmoid::tests::activate_works ... ok
[INFO] [stdout] test big_theta::tests::create_big_theta_for_test_with_scale_factor_works ... ok
[INFO] [stdout] test big_theta::tests::create_big_theta_for_test_works ... ok
[INFO] [stdout] test big_theta::tests::divide_scalar_works ... ok
[INFO] [stdout] test big_theta::tests::test_add_in_place_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 big_theta::tests::test_elementwise_mult_in_place_place_works ... ok
[INFO] [stdout] test big_theta::tests::test_get_weights_matrix_mut ... ok
[INFO] [stdout] test big_theta::tests::test_mult_scalar_in_place_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::leaky_relu::tests::activate_prime_works ... ok
[INFO] [stdout] test builder::test_nn_builder::test_nn_builder_manual_wb_values ... ok
[INFO] [stdout] test cost::tests::test_quadratic_cost_fn ... ok
[INFO] [stdout] test cost::tests::test_quadratic_cost_fn_dimension_mismatch ... ok
[INFO] [stdout] test tests::feed_forward_works_simple_three_layer ... 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 tests::test_cost_single_tr_ex_multiple_output_neurons ... ok
[INFO] [stdout] test tests::test_cost_single_tr_ex_single_output_neuron ... ok
[INFO] [stdout] test tests::test_cost_for_training_set_iterative_impl ... ok
[INFO] [stdout] test tests::test_get_weight_matrix_shape ... ok
[INFO] [stdout] test activation::relu::tests::activate_prime_works ... ok
[INFO] [stdout] test builder::test_nn_builder::cannot_add_output_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_fan_in_fan_out ... ok
[INFO] [stdout] test builder::test_nn_builder::cannot_add_hiddlen_layer_before_input_layer - should panic ... 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_reshape_weights_and_biases ... ok
[INFO] [stdout] test tests::test_rev_layer_indexs_computation ... ok
[INFO] [stdout] test tests::test_unroll_gradients ... ok
[INFO] [stdout] test tests::test_unroll_weights_and_biases ... ok
[INFO] [stdout] test tests::test_z_vec ... 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 ... ok
[INFO] [stdout] test tests::simple_relu_test ... ok
[INFO] [stdout] test tests::simple_leaky_relu_test ... 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] test result: ok. 45 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 30.05s
[INFO] [stdout] 
[INFO] [stderr] (took PT0.078105340S) (took PT0.171842478S) (took PT1.085616178S) (took PT11.754842605S) (took PT18.097306666S) (took PT30.041468355S)      Running unittests src/main.rs (/opt/rustwide/target/debug/deps/test7_nn_mnist_classifier-879dd8666df740bd)
[INFO] [stdout] 
[INFO] [stdout] running 0 tests
[INFO] [stdout] 
[INFO] [stderr]    Doc-tests common
[INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
[INFO] [stdout] 
[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]    Doc-tests metrics
[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]    Doc-tests mnist_data
[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]    Doc-tests test6_nn
[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]    Doc-tests test7_nn_mnist_classifier
[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] running `Command { std: "docker" "inspect" "f32cf0465606031daa4fc7a7db547be1de4a64d598bfba5c7e56b0a77854a692", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "f32cf0465606031daa4fc7a7db547be1de4a64d598bfba5c7e56b0a77854a692", kill_on_drop: false }`
[INFO] [stdout] f32cf0465606031daa4fc7a7db547be1de4a64d598bfba5c7e56b0a77854a692
