[INFO] cloning repository https://github.com/Interseptor06/Cryptonic
[INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/Interseptor06/Cryptonic" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FInterseptor06%2FCryptonic", kill_on_drop: false }`
[INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FInterseptor06%2FCryptonic'...
[INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }`
[INFO] [stdout] 76fb0ca1fd48b4771e8703e471edce4a70909e4d
[INFO] testing Interseptor06/Cryptonic against beta-2025-09-21 for beta-1.91-2
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FInterseptor06%2FCryptonic" "/workspace/builds/worker-6-tc2/source", kill_on_drop: false }`
[INFO] [stderr] Cloning into '/workspace/builds/worker-6-tc2/source'...
[INFO] [stderr] done.
[INFO] started tweaking git repo https://github.com/Interseptor06/Cryptonic
[INFO] finished tweaking git repo https://github.com/Interseptor06/Cryptonic
[INFO] tweaked toml for git repo https://github.com/Interseptor06/Cryptonic written to /workspace/builds/worker-6-tc2/source/Cargo.toml
[INFO] validating manifest of git repo https://github.com/Interseptor06/Cryptonic on toolchain beta-2025-09-21
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+beta-2025-09-21" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate git repo https://github.com/Interseptor06/Cryptonic 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" "+beta-2025-09-21" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-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:e90291280db7d1fac5b66fc6dad9f9662629e7365a55743daf9bdf73ebc4ea79" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2025-09-21" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] e3f9bb9db12f1d3f44b360f6f0593f97e377b46d53b4836212fc1f9c4609fbac
[INFO] running `Command { std: "docker" "start" "-a" "e3f9bb9db12f1d3f44b360f6f0593f97e377b46d53b4836212fc1f9c4609fbac", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "e3f9bb9db12f1d3f44b360f6f0593f97e377b46d53b4836212fc1f9c4609fbac", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "e3f9bb9db12f1d3f44b360f6f0593f97e377b46d53b4836212fc1f9c4609fbac", kill_on_drop: false }`
[INFO] [stdout] e3f9bb9db12f1d3f44b360f6f0593f97e377b46d53b4836212fc1f9c4609fbac
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-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=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:e90291280db7d1fac5b66fc6dad9f9662629e7365a55743daf9bdf73ebc4ea79" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2025-09-21" "build" "--frozen" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] b2de8adc61df36e93b262c24e792a0e68cad4dcf428e3fdf6e2e47f5b7cae734
[INFO] running `Command { std: "docker" "start" "-a" "b2de8adc61df36e93b262c24e792a0e68cad4dcf428e3fdf6e2e47f5b7cae734", kill_on_drop: false }`
[INFO] [stderr]    Compiling proc-macro2 v1.0.50
[INFO] [stderr]    Compiling syn v1.0.107
[INFO] [stderr]    Compiling crossbeam-utils v0.8.14
[INFO] [stderr]    Compiling memoffset v0.7.1
[INFO] [stderr]    Compiling serde_derive v1.0.152
[INFO] [stderr]    Compiling crossbeam-epoch v0.9.13
[INFO] [stderr]    Compiling serde v1.0.152
[INFO] [stderr]    Compiling num-traits v0.2.15
[INFO] [stderr]    Compiling rayon-core v1.10.2
[INFO] [stderr]    Compiling either v1.8.1
[INFO] [stderr]    Compiling paste v1.0.11
[INFO] [stderr]    Compiling concrete-csprng v0.3.0
[INFO] [stderr]    Compiling generic-array v0.14.6
[INFO] [stderr]    Compiling reborrow v0.5.1
[INFO] [stderr]    Compiling tfhe v0.1.8
[INFO] [stderr]    Compiling once_cell v1.17.0
[INFO] [stderr]    Compiling dyn-stack v0.8.3
[INFO] [stderr]    Compiling itertools v0.10.5
[INFO] [stderr]    Compiling crossbeam-channel v0.5.6
[INFO] [stderr]    Compiling inout v0.1.3
[INFO] [stderr]    Compiling crypto-common v0.1.6
[INFO] [stderr]    Compiling crossbeam-deque v0.8.2
[INFO] [stderr]    Compiling cipher v0.4.3
[INFO] [stderr]    Compiling quote v1.0.23
[INFO] [stderr]    Compiling aes v0.8.2
[INFO] [stderr]    Compiling rayon v1.6.1
[INFO] [stderr]    Compiling aligned-vec v0.5.0
[INFO] [stderr]    Compiling num-complex v0.4.3
[INFO] [stderr]    Compiling bincode v1.3.3
[INFO] [stderr]    Compiling concrete-fft v0.1.0
[INFO] [stderr]    Compiling Cryptonic v0.1.0 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused import: `crate::tensor_library::layout::Layout::RowMajor`
[INFO] [stdout]  --> src/neural_network/nnet.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use crate::tensor_library::layout::Layout::RowMajor;
[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 imports: `multiply_1d`, `multiply_2d`, and `multiply_scalar`
[INFO] [stdout]   --> src/neural_network/nnet.rs:10:57
[INFO] [stdout]    |
[INFO] [stdout] 10 | use crate::tensor_library::matrix::{Matrix, MatrixIter, multiply_1d, multiply_2d, multiply_scalar, multiply_scalar_generic};
[INFO] [stdout]    |                                                         ^^^^^^^^^^^  ^^^^^^^^^^^  ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around type
[INFO] [stdout]   --> src/neural_network/nnet.rs:88:59
[INFO] [stdout]    |
[INFO] [stdout] 88 |     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stdout]    |                                                           ^         ^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 88 -     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stdout] 88 +     pub fn forward(&mut self, input: Matrix<T>) -> Result<Matrix<T>, &str>{
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around function argument
[INFO] [stdout]    --> src/neural_network/nnet.rs:147:12
[INFO] [stdout]     |
[INFO] [stdout] 147 |         Ok((current_input))
[INFO] [stdout]     |            ^             ^
[INFO] [stdout]     |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]     |
[INFO] [stdout] 147 -         Ok((current_input))
[INFO] [stdout] 147 +         Ok(current_input)
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::neural_network::test_layer::TestLayer`
[INFO] [stdout]  --> src/neural_network/layer_type.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use crate::neural_network::test_layer::TestLayer;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `parameters_set`
[INFO] [stdout]   --> src/cryptography/key_gen.rs:57:24
[INFO] [stdout]    |
[INFO] [stdout] 57 | pub fn custom_gen_keys(parameters_set: &Parameters) -> (ClientKey, ServerKey) {
[INFO] [stdout]    |                        ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_parameters_set`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `weights`
[INFO] [stdout]   --> src/neural_network/nnet.rs:93:27
[INFO] [stdout]    |
[INFO] [stdout] 93 |         let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap();
[INFO] [stdout]    |                           ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `biases`
[INFO] [stdout]   --> src/neural_network/nnet.rs:93:36
[INFO] [stdout]    |
[INFO] [stdout] 93 |         let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap();
[INFO] [stdout]    |                                    ^^^^^^ help: if this is intentional, prefix it with an underscore: `_biases`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `idx`
[INFO] [stdout]    --> src/neural_network/nnet.rs:133:26
[INFO] [stdout]     |
[INFO] [stdout] 133 |                 for (el, idx) in iterator {
[INFO] [stdout]     |                          ^^^ help: if this is intentional, prefix it with an underscore: `_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `a`
[INFO] [stdout]    --> src/neural_network/nnet.rs:107:24
[INFO] [stdout]     |
[INFO] [stdout] 107 |                 .map(|(a, b)| b.unwrap()).collect();
[INFO] [stdout]     |                        ^ help: if this is intentional, prefix it with an underscore: `_a`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/neural_network/nnet.rs:124:21
[INFO] [stdout]     |
[INFO] [stdout] 124 |                 let mut current_output_el = multiply_scalar_generic(weights_matrix.clone(), el.clone());
[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: `input`
[INFO] [stdout]   --> src/neural_network/test_layer.rs:16:27
[INFO] [stdout]    |
[INFO] [stdout] 16 |     fn forward(&mut self, input : Matrix<T>) -> Matrix<Self::CType> where <Self as Layer>::CType: Clone + Default {
[INFO] [stdout]    |                           ^^^^^ help: if this is intentional, prefix it with an underscore: `_input`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_library/matrix.rs:781:35
[INFO] [stdout]     |
[INFO] [stdout] 781 | pub fn multiply_scalar_generic<T>(mut lhs: Matrix<i32>, rhs: T) -> Matrix<T> where T: Clone + Default + Mul<i32, Output = T>, i32: Mul<T>{
[INFO] [stdout]     |                                   ----^^^
[INFO] [stdout]     |                                   |
[INFO] [stdout]     |                                   help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `get_last_layer_id` is never used
[INFO] [stdout]    --> src/neural_network/nnet.rs:175:8
[INFO] [stdout]     |
[INFO] [stdout]  21 | impl<T> Nnet<T> where T : Clone + Default + Debug + AddAssign + MulAssign + Add<i32, Output = T> + Mul<i32> + Mul<i32, Output = T>, i32: Mul<T>{
[INFO] [stdout]     | ----------------------------------------------------------------------------------------------------------------------------------------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 175 |     fn get_last_layer_id(&self) ->  &Option<usize> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 40.07s
[INFO] running `Command { std: "docker" "inspect" "b2de8adc61df36e93b262c24e792a0e68cad4dcf428e3fdf6e2e47f5b7cae734", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "b2de8adc61df36e93b262c24e792a0e68cad4dcf428e3fdf6e2e47f5b7cae734", kill_on_drop: false }`
[INFO] [stdout] b2de8adc61df36e93b262c24e792a0e68cad4dcf428e3fdf6e2e47f5b7cae734
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-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=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:e90291280db7d1fac5b66fc6dad9f9662629e7365a55743daf9bdf73ebc4ea79" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2025-09-21" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 7dd17cd8bbc71dba97e331f608f5284ca4b5047e11569ee14e4465d69b617e33
[INFO] running `Command { std: "docker" "start" "-a" "7dd17cd8bbc71dba97e331f608f5284ca4b5047e11569ee14e4465d69b617e33", kill_on_drop: false }`
[INFO] [stdout] warning: unused import: `crate::tensor_library::layout::Layout::RowMajor`
[INFO] [stdout]  --> src/neural_network/nnet.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use crate::tensor_library::layout::Layout::RowMajor;
[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 imports: `multiply_1d`, `multiply_2d`, and `multiply_scalar`
[INFO] [stdout]   --> src/neural_network/nnet.rs:10:57
[INFO] [stdout]    |
[INFO] [stdout] 10 | use crate::tensor_library::matrix::{Matrix, MatrixIter, multiply_1d, multiply_2d, multiply_scalar, multiply_scalar_generic};
[INFO] [stdout]    |                                                         ^^^^^^^^^^^  ^^^^^^^^^^^  ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around type
[INFO] [stdout]   --> src/neural_network/nnet.rs:88:59
[INFO] [stdout]    |
[INFO] [stdout] 88 |     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stdout]    |                                                           ^         ^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 88 -     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stdout] 88 +     pub fn forward(&mut self, input: Matrix<T>) -> Result<Matrix<T>, &str>{
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around function argument
[INFO] [stdout]    --> src/neural_network/nnet.rs:147:12
[INFO] [stdout]     |
[INFO] [stdout] 147 |         Ok((current_input))
[INFO] [stdout]     |            ^             ^
[INFO] [stdout]     |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]     |
[INFO] [stdout] 147 -         Ok((current_input))
[INFO] [stdout] 147 +         Ok(current_input)
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::neural_network::test_layer::TestLayer`
[INFO] [stdout]  --> src/neural_network/layer_type.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use crate::neural_network::test_layer::TestLayer;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `parameters_set`
[INFO] [stdout]   --> src/cryptography/key_gen.rs:57:24
[INFO] [stdout]    |
[INFO] [stdout] 57 | pub fn custom_gen_keys(parameters_set: &Parameters) -> (ClientKey, ServerKey) {
[INFO] [stdout]    |                        ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_parameters_set`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]    Compiling Cryptonic v0.1.0 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused variable: `weights`
[INFO] [stdout]   --> src/neural_network/nnet.rs:93:27
[INFO] [stdout]    |
[INFO] [stdout] 93 |         let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap();
[INFO] [stdout]    |                           ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `biases`
[INFO] [stdout]   --> src/neural_network/nnet.rs:93:36
[INFO] [stdout]    |
[INFO] [stdout] 93 |         let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap();
[INFO] [stdout]    |                                    ^^^^^^ help: if this is intentional, prefix it with an underscore: `_biases`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `idx`
[INFO] [stdout]    --> src/neural_network/nnet.rs:133:26
[INFO] [stdout]     |
[INFO] [stdout] 133 |                 for (el, idx) in iterator {
[INFO] [stdout]     |                          ^^^ help: if this is intentional, prefix it with an underscore: `_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `a`
[INFO] [stdout]    --> src/neural_network/nnet.rs:107:24
[INFO] [stdout]     |
[INFO] [stdout] 107 |                 .map(|(a, b)| b.unwrap()).collect();
[INFO] [stdout]     |                        ^ help: if this is intentional, prefix it with an underscore: `_a`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/neural_network/nnet.rs:124:21
[INFO] [stdout]     |
[INFO] [stdout] 124 |                 let mut current_output_el = multiply_scalar_generic(weights_matrix.clone(), el.clone());
[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: `input`
[INFO] [stdout]   --> src/neural_network/test_layer.rs:16:27
[INFO] [stdout]    |
[INFO] [stdout] 16 |     fn forward(&mut self, input : Matrix<T>) -> Matrix<Self::CType> where <Self as Layer>::CType: Clone + Default {
[INFO] [stdout]    |                           ^^^^^ help: if this is intentional, prefix it with an underscore: `_input`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_library/matrix.rs:781:35
[INFO] [stdout]     |
[INFO] [stdout] 781 | pub fn multiply_scalar_generic<T>(mut lhs: Matrix<i32>, rhs: T) -> Matrix<T> where T: Clone + Default + Mul<i32, Output = T>, i32: Mul<T>{
[INFO] [stdout]     |                                   ----^^^
[INFO] [stdout]     |                                   |
[INFO] [stdout]     |                                   help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `get_last_layer_id` is never used
[INFO] [stdout]    --> src/neural_network/nnet.rs:175:8
[INFO] [stdout]     |
[INFO] [stdout]  21 | impl<T> Nnet<T> where T : Clone + Default + Debug + AddAssign + MulAssign + Add<i32, Output = T> + Mul<i32> + Mul<i32, Output = T>, i32: Mul<T>{
[INFO] [stdout]     | ----------------------------------------------------------------------------------------------------------------------------------------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 175 |     fn get_last_layer_id(&self) ->  &Option<usize> {
[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 import: `crate::tensor_library::layout::Layout::RowMajor`
[INFO] [stdout]  --> src/neural_network/nnet.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use crate::tensor_library::layout::Layout::RowMajor;
[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 imports: `multiply_1d`, `multiply_2d`, and `multiply_scalar`
[INFO] [stdout]   --> src/neural_network/nnet.rs:10:57
[INFO] [stdout]    |
[INFO] [stdout] 10 | use crate::tensor_library::matrix::{Matrix, MatrixIter, multiply_1d, multiply_2d, multiply_scalar, multiply_scalar_generic};
[INFO] [stdout]    |                                                         ^^^^^^^^^^^  ^^^^^^^^^^^  ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around type
[INFO] [stdout]   --> src/neural_network/nnet.rs:88:59
[INFO] [stdout]    |
[INFO] [stdout] 88 |     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stdout]    |                                                           ^         ^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 88 -     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stdout] 88 +     pub fn forward(&mut self, input: Matrix<T>) -> Result<Matrix<T>, &str>{
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around function argument
[INFO] [stdout]    --> src/neural_network/nnet.rs:147:12
[INFO] [stdout]     |
[INFO] [stdout] 147 |         Ok((current_input))
[INFO] [stdout]     |            ^             ^
[INFO] [stdout]     |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]     |
[INFO] [stdout] 147 -         Ok((current_input))
[INFO] [stdout] 147 +         Ok(current_input)
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::neural_network::test_layer::TestLayer`
[INFO] [stdout]  --> src/neural_network/layer_type.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use crate::neural_network::test_layer::TestLayer;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `parameters_set`
[INFO] [stdout]   --> src/cryptography/key_gen.rs:57:24
[INFO] [stdout]    |
[INFO] [stdout] 57 | pub fn custom_gen_keys(parameters_set: &Parameters) -> (ClientKey, ServerKey) {
[INFO] [stdout]    |                        ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_parameters_set`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `weights`
[INFO] [stdout]   --> src/neural_network/nnet.rs:93:27
[INFO] [stdout]    |
[INFO] [stdout] 93 |         let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap();
[INFO] [stdout]    |                           ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `biases`
[INFO] [stdout]   --> src/neural_network/nnet.rs:93:36
[INFO] [stdout]    |
[INFO] [stdout] 93 |         let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap();
[INFO] [stdout]    |                                    ^^^^^^ help: if this is intentional, prefix it with an underscore: `_biases`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `idx`
[INFO] [stdout]    --> src/neural_network/nnet.rs:133:26
[INFO] [stdout]     |
[INFO] [stdout] 133 |                 for (el, idx) in iterator {
[INFO] [stdout]     |                          ^^^ help: if this is intentional, prefix it with an underscore: `_idx`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `a`
[INFO] [stdout]    --> src/neural_network/nnet.rs:107:24
[INFO] [stdout]     |
[INFO] [stdout] 107 |                 .map(|(a, b)| b.unwrap()).collect();
[INFO] [stdout]     |                        ^ help: if this is intentional, prefix it with an underscore: `_a`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/neural_network/nnet.rs:124:21
[INFO] [stdout]     |
[INFO] [stdout] 124 |                 let mut current_output_el = multiply_scalar_generic(weights_matrix.clone(), el.clone());
[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: `input`
[INFO] [stdout]   --> src/neural_network/test_layer.rs:16:27
[INFO] [stdout]    |
[INFO] [stdout] 16 |     fn forward(&mut self, input : Matrix<T>) -> Matrix<Self::CType> where <Self as Layer>::CType: Clone + Default {
[INFO] [stdout]    |                           ^^^^^ help: if this is intentional, prefix it with an underscore: `_input`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/tensor_library/matrix.rs:781:35
[INFO] [stdout]     |
[INFO] [stdout] 781 | pub fn multiply_scalar_generic<T>(mut lhs: Matrix<i32>, rhs: T) -> Matrix<T> where T: Clone + Default + Mul<i32, Output = T>, i32: Mul<T>{
[INFO] [stdout]     |                                   ----^^^
[INFO] [stdout]     |                                   |
[INFO] [stdout]     |                                   help: remove this `mut`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `get_last_layer_id` is never used
[INFO] [stdout]    --> src/neural_network/nnet.rs:175:8
[INFO] [stdout]     |
[INFO] [stdout]  21 | impl<T> Nnet<T> where T : Clone + Default + Debug + AddAssign + MulAssign + Add<i32, Output = T> + Mul<i32> + Mul<i32, Output = T>, i32: Mul<T>{
[INFO] [stdout]     | ----------------------------------------------------------------------------------------------------------------------------------------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 175 |     fn get_last_layer_id(&self) ->  &Option<usize> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 0.96s
[INFO] running `Command { std: "docker" "inspect" "7dd17cd8bbc71dba97e331f608f5284ca4b5047e11569ee14e4465d69b617e33", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "7dd17cd8bbc71dba97e331f608f5284ca4b5047e11569ee14e4465d69b617e33", kill_on_drop: false }`
[INFO] [stdout] 7dd17cd8bbc71dba97e331f608f5284ca4b5047e11569ee14e4465d69b617e33
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-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=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:e90291280db7d1fac5b66fc6dad9f9662629e7365a55743daf9bdf73ebc4ea79" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2025-09-21" "test" "--frozen", kill_on_drop: false }`
[INFO] [stdout] 437cac6d1431b88616619890b6a761d6c3dc1d3ec057f5b822e62866e1b13e7b
[INFO] running `Command { std: "docker" "start" "-a" "437cac6d1431b88616619890b6a761d6c3dc1d3ec057f5b822e62866e1b13e7b", kill_on_drop: false }`
[INFO] [stderr] warning: unused import: `crate::tensor_library::layout::Layout::RowMajor`
[INFO] [stderr]  --> src/neural_network/nnet.rs:9:5
[INFO] [stderr]   |
[INFO] [stderr] 9 | use crate::tensor_library::layout::Layout::RowMajor;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused imports: `multiply_1d`, `multiply_2d`, and `multiply_scalar`
[INFO] [stderr]   --> src/neural_network/nnet.rs:10:57
[INFO] [stderr]    |
[INFO] [stderr] 10 | use crate::tensor_library::matrix::{Matrix, MatrixIter, multiply_1d, multiply_2d, multiply_scalar, multiply_scalar_generic};
[INFO] [stderr]    |                                                         ^^^^^^^^^^^  ^^^^^^^^^^^  ^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around type
[INFO] [stderr]   --> src/neural_network/nnet.rs:88:59
[INFO] [stderr]    |
[INFO] [stderr] 88 |     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stderr]    |                                                           ^         ^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 88 -     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stderr] 88 +     pub fn forward(&mut self, input: Matrix<T>) -> Result<Matrix<T>, &str>{
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around function argument
[INFO] [stderr]    --> src/neural_network/nnet.rs:147:12
[INFO] [stderr]     |
[INFO] [stderr] 147 |         Ok((current_input))
[INFO] [stderr]     |            ^             ^
[INFO] [stderr]     |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]     |
[INFO] [stderr] 147 -         Ok((current_input))
[INFO] [stderr] 147 +         Ok(current_input)
[INFO] [stderr]     |
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `crate::neural_network::test_layer::TestLayer`
[INFO] [stderr]  --> src/neural_network/layer_type.rs:3:5
[INFO] [stderr]   |
[INFO] [stderr] 3 | use crate::neural_network::test_layer::TestLayer;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `parameters_set`
[INFO] [stderr]   --> src/cryptography/key_gen.rs:57:24
[INFO] [stderr]    |
[INFO] [stderr] 57 | pub fn custom_gen_keys(parameters_set: &Parameters) -> (ClientKey, ServerKey) {
[INFO] [stderr]    |                        ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_parameters_set`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `weights`
[INFO] [stderr]   --> src/neural_network/nnet.rs:93:27
[INFO] [stderr]    |
[INFO] [stderr] 93 |         let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap();
[INFO] [stderr]    |                           ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `biases`
[INFO] [stderr]   --> src/neural_network/nnet.rs:93:36
[INFO] [stderr]    |
[INFO] [stderr] 93 |         let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap();
[INFO] [stderr]    |                                    ^^^^^^ help: if this is intentional, prefix it with an underscore: `_biases`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `idx`
[INFO] [stderr]    --> src/neural_network/nnet.rs:133:26
[INFO] [stderr]     |
[INFO] [stderr] 133 |                 for (el, idx) in iterator {
[INFO] [stderr]     |                          ^^^ help: if this is intentional, prefix it with an underscore: `_idx`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `a`
[INFO] [stderr]    --> src/neural_network/nnet.rs:107:24
[INFO] [stderr]     |
[INFO] [stderr] 107 |                 .map(|(a, b)| b.unwrap()).collect();
[INFO] [stderr]     |                        ^ help: if this is intentional, prefix it with an underscore: `_a`
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]    --> src/neural_network/nnet.rs:124:21
[INFO] [stderr]     |
[INFO] [stderr] 124 |                 let mut current_output_el = multiply_scalar_generic(weights_matrix.clone(), el.clone());
[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: `input`
[INFO] [stderr]   --> src/neural_network/test_layer.rs:16:27
[INFO] [stderr]    |
[INFO] [stderr] 16 |     fn forward(&mut self, input : Matrix<T>) -> Matrix<Self::CType> where <Self as Layer>::CType: Clone + Default {
[INFO] [stderr]    |                           ^^^^^ help: if this is intentional, prefix it with an underscore: `_input`
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]    --> src/tensor_library/matrix.rs:781:35
[INFO] [stderr]     |
[INFO] [stderr] 781 | pub fn multiply_scalar_generic<T>(mut lhs: Matrix<i32>, rhs: T) -> Matrix<T> where T: Clone + Default + Mul<i32, Output = T>, i32: Mul<T>{
[INFO] [stderr]     |                                   ----^^^
[INFO] [stderr]     |                                   |
[INFO] [stderr]     |                                   help: remove this `mut`
[INFO] [stderr] 
[INFO] [stderr] warning: method `get_last_layer_id` is never used
[INFO] [stderr]    --> src/neural_network/nnet.rs:175:8
[INFO] [stderr]     |
[INFO] [stderr]  21 | impl<T> Nnet<T> where T : Clone + Default + Debug + AddAssign + MulAssign + Add<i32, Output = T> + Mul<i32> + Mul<i32, Output = T>, i32: Mul<T>{
[INFO] [stderr]     | ----------------------------------------------------------------------------------------------------------------------------------------------- method in this implementation
[INFO] [stderr] ...
[INFO] [stderr] 175 |     fn get_last_layer_id(&self) ->  &Option<usize> {
[INFO] [stderr]     |        ^^^^^^^^^^^^^^^^^
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: `Cryptonic` (lib) generated 14 warnings (run `cargo fix --lib -p Cryptonic` to apply 7 suggestions)
[INFO] [stderr] warning: `Cryptonic` (lib test) generated 14 warnings (14 duplicates)
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 0.06s
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/Cryptonic-4c1a765a241dbfe1)
[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/Cryptonic-1de90cb7389b8db7)
[INFO] [stderr]      Running tests/tests.rs (/opt/rustwide/target/debug/deps/tests-c283a8f0235d90e9)
[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 26 tests
[INFO] [stdout] test test_matrix_functionality::test_apply ... ok
[INFO] [stdout] test test_matrix_functionality::test_add ... ok
[INFO] [stdout] test test_matrix_functionality::test_apply_mut ... ok
[INFO] [stdout] test test_matrix_functionality::test_broadcasting ... ok
[INFO] [stdout] test test_matrix_functionality::test_calc_next_idx ... ok
[INFO] [stdout] test test_matrix_functionality::test_check_concat_dims ... ok
[INFO] [stdout] test test_matrix_functionality::test_col_major_gen ... ok
[INFO] [stdout] test test_matrix_functionality::test_get ... ok
[INFO] [stdout] test test_matrix_functionality::test_get_physical_idx ... ok
[INFO] [stdout] test test_matrix_functionality::test_get_mut ... ok
[INFO] [stdout] test test_matrix_functionality::test_if_add_throws_error_when_bounds_are_incompatible ... ok
[INFO] [stdout] test test_matrix_functionality::test_if_subtract_throws_error_when_bounds_are_incompatible ... ok
[INFO] [stdout] test test_matrix_functionality::test_flatten ... ok
[INFO] [stdout] test test_matrix_functionality::test_if_concat_throws_error_when_dimensions_are_incompatible ... ok
[INFO] [stdout] test test_matrix_functionality::test_concat ... ok
[INFO] [stdout] test test_matrix_functionality::test_mul_2d ... ok
[INFO] [stdout] test test_matrix_functionality::test_reshape ... ok
[INFO] [stdout] test test_matrix_functionality::test_set ... ok
[INFO] [stdout] test test_matrix_functionality::test_row_major_gen ... ok
[INFO] [stdout] test test_matrix_functionality::test_shape ... ok
[INFO] [stdout] test test_matrix_functionality::test_size_calc ... ok
[INFO] [stdout] test test_matrix_functionality::test_strides ... ok
[INFO] [stdout] test test_matrix_functionality::test_subtract ... ok
[INFO] [stdout] test test_matrix_functionality::test_iter ... ok
[INFO] [stdout] test test_matrix_functionality::test_bound_check ... ok
[INFO] [stdout] test test_matrix_functionality::test_transpose ... ok
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 26 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
[INFO] [stdout] 
[INFO] [stderr]    Doc-tests Cryptonic
[INFO] [stderr] warning: unnecessary parentheses around type
[INFO] [stderr]   --> src/neural_network/nnet.rs:88:59
[INFO] [stderr]    |
[INFO] [stderr] 88 |     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stderr]    |                                                           ^         ^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]    |
[INFO] [stderr] 88 -     pub fn forward(&mut self, input: Matrix<T>) -> Result<(Matrix<T>), &str>{
[INFO] [stderr] 88 +     pub fn forward(&mut self, input: Matrix<T>) -> Result<Matrix<T>, &str>{
[INFO] [stderr]    |
[INFO] [stderr] 
[INFO] [stderr] warning: unnecessary parentheses around function argument
[INFO] [stderr]    --> src/neural_network/nnet.rs:147:12
[INFO] [stderr]     |
[INFO] [stderr] 147 |         Ok((current_input))
[INFO] [stderr]     |            ^             ^
[INFO] [stderr]     |
[INFO] [stderr] help: remove these parentheses
[INFO] [stderr]     |
[INFO] [stderr] 147 -         Ok((current_input))
[INFO] [stderr] 147 +         Ok(current_input)
[INFO] [stderr]     |
[INFO] [stderr] 
[INFO] [stderr] warning: 2 warnings emitted
[INFO] [stderr] 
[INFO] [stdout] 
[INFO] [stdout] running 32 tests
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::from_iter (line 48) ... FAILED
[INFO] [stdout] test src/neural_network/nnet.rs - neural_network::nnet::Nnet<T>::add_node (line 51) ... FAILED
[INFO] [stdout] test src/neural_network/nnet.rs - neural_network::nnet::Nnet<T>::add_layer (line 32) ... FAILED
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::set_shape (line 192) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::shape (line 118) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::size (line 105) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::set_strides (line 176) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::strides (line 155) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::strides (line 161) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::apply_mut (line 377) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::get (line 264) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::ConcatRetType (line 520) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::new (line 29) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::BroadcastRetType (line 448) ... ok
[INFO] [stdout] test src/tensor_library/utils.rs - tensor_library::utils::calc_concat_shape (line 81) ... FAILED
[INFO] [stdout] test src/cryptography/key_gen.rs - cryptography::key_gen::get_modulus (line 65) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::AddRetType (line 670) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::get_physical_idx (line 237) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::flatten (line 422) ... ok
[INFO] [stdout] test src/tensor_library/utils.rs - tensor_library::utils::calc_size_from_shape (line 37) ... FAILED
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::set (line 308) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::reshape (line 131) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::check_bounds (line 214) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::transpose (line 399) ... ok
[INFO] [stdout] test src/tensor_library/utils.rs - tensor_library::utils::check_concat_dims (line 51) ... FAILED
[INFO] [stdout] test src/tensor_library/utils.rs - tensor_library::utils::calc_strides_from_shape (line 7) ... FAILED
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::apply (line 357) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::MulRetType1D (line 961) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::SubRetType (line 595) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::multiply_scalar (line 748) ... ok
[INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::MulRetType2D (line 888) ... ok
[INFO] [stdout] test src/cryptography/key_gen.rs - cryptography::key_gen::custom_gen_keys (line 30) ... ok
[INFO] [stdout] 
[INFO] [stdout] failures:
[INFO] [stdout] 
[INFO] [stdout] ---- src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::from_iter (line 48) stdout ----
[INFO] [stdout] error[E0432]: unresolved imports `Cryptonic::matrix`, `Cryptonic::layout`
[INFO] [stdout]  --> src/tensor_library/matrix.rs:50:17
[INFO] [stdout]   |
[INFO] [stdout] 5 | use Cryptonic::{matrix::Matrix, layout::Layout};
[INFO] [stdout]   |                 ^^^^^^          ^^^^^^ could not find `layout` in `Cryptonic`
[INFO] [stdout]   |                 |
[INFO] [stdout]   |                 could not find `matrix` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 1 previous error
[INFO] [stdout] 
[INFO] [stdout] For more information about this error, try `rustc --explain E0432`.
[INFO] [stdout] Couldn't compile the test.
[INFO] [stdout] ---- src/neural_network/nnet.rs - neural_network::nnet::Nnet<T>::add_node (line 51) stdout ----
[INFO] [stdout] error[E0432]: unresolved import `Cryptonic::layers`
[INFO] [stdout]  --> src/neural_network/nnet.rs:53:16
[INFO] [stdout]   |
[INFO] [stdout] 5 | use Cryptonic::layers::dense_layer;
[INFO] [stdout]   |                ^^^^^^ could not find `layers` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `Cryptonic::nnet`
[INFO] [stdout]  --> src/neural_network/nnet.rs:55:17
[INFO] [stdout]   |
[INFO] [stdout] 7 |  use Cryptonic::nnet::Nnet;
[INFO] [stdout]   |                 ^^^^ could not find `nnet` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 2 previous errors
[INFO] [stdout] 
[INFO] [stdout] For more information about this error, try `rustc --explain E0432`.
[INFO] [stdout] Couldn't compile the test.
[INFO] [stdout] ---- src/neural_network/nnet.rs - neural_network::nnet::Nnet<T>::add_layer (line 32) stdout ----
[INFO] [stdout] error[E0432]: unresolved import `Cryptonic::layers`
[INFO] [stdout]  --> src/neural_network/nnet.rs:34:16
[INFO] [stdout]   |
[INFO] [stdout] 5 | use Cryptonic::layers::dense_layer;
[INFO] [stdout]   |                ^^^^^^ could not find `layers` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 1 previous error
[INFO] [stdout] 
[INFO] [stdout] For more information about this error, try `rustc --explain E0432`.
[INFO] [stdout] Couldn't compile the test.
[INFO] [stdout] ---- src/tensor_library/utils.rs - tensor_library::utils::calc_concat_shape (line 81) stdout ----
[INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils`
[INFO] [stdout]  --> src/tensor_library/utils.rs:83:16
[INFO] [stdout]   |
[INFO] [stdout] 5 | use Cryptonic::utils::calc_size_from_shape;
[INFO] [stdout]   |                ^^^^^ could not find `utils` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils`
[INFO] [stdout]  --> src/tensor_library/utils.rs:84:16
[INFO] [stdout]   |
[INFO] [stdout] 6 | use Cryptonic::utils::calc_concat_shape;
[INFO] [stdout]   |                ^^^^^ could not find `utils` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 2 previous errors
[INFO] [stdout] 
[INFO] [stdout] For more information about this error, try `rustc --explain E0432`.
[INFO] [stdout] Couldn't compile the test.
[INFO] [stdout] ---- src/tensor_library/utils.rs - tensor_library::utils::calc_size_from_shape (line 37) stdout ----
[INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils`
[INFO] [stdout]  --> src/tensor_library/utils.rs:39:16
[INFO] [stdout]   |
[INFO] [stdout] 5 | use Cryptonic::utils::calc_size_from_shape;
[INFO] [stdout]   |                ^^^^^ could not find `utils` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 1 previous error
[INFO] [stdout] 
[INFO] [stdout] For more information about this error, try `rustc --explain E0432`.
[INFO] [stdout] Couldn't compile the test.
[INFO] [stdout] ---- src/tensor_library/utils.rs - tensor_library::utils::check_concat_dims (line 51) stdout ----
[INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils`
[INFO] [stdout]  --> src/tensor_library/utils.rs:53:16
[INFO] [stdout]   |
[INFO] [stdout] 5 | use Cryptonic::utils::calc_size_from_shape;
[INFO] [stdout]   |                ^^^^^ could not find `utils` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils`
[INFO] [stdout]  --> src/tensor_library/utils.rs:54:16
[INFO] [stdout]   |
[INFO] [stdout] 6 | use Cryptonic::utils::check_concat_dims;
[INFO] [stdout]   |                ^^^^^ could not find `utils` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 2 previous errors
[INFO] [stdout] 
[INFO] [stdout] For more information about this error, try `rustc --explain E0432`.
[INFO] [stdout] Couldn't compile the test.
[INFO] [stdout] ---- src/tensor_library/utils.rs - tensor_library::utils::calc_strides_from_shape (line 7) stdout ----
[INFO] [stdout] error[E0432]: unresolved imports `Cryptonic::matrix`, `Cryptonic::layout`
[INFO] [stdout]  --> src/tensor_library/utils.rs:9:17
[INFO] [stdout]   |
[INFO] [stdout] 5 | use Cryptonic::{matrix::Matrix, layout::Layout};
[INFO] [stdout]   |                 ^^^^^^          ^^^^^^ could not find `layout` in `Cryptonic`
[INFO] [stdout]   |                 |
[INFO] [stdout]   |                 could not find `matrix` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils`
[INFO] [stdout]  --> src/tensor_library/utils.rs:10:16
[INFO] [stdout]   |
[INFO] [stdout] 6 | use Cryptonic::utils::calc_strides_from_shape;
[INFO] [stdout]   |                ^^^^^ could not find `utils` in `Cryptonic`
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 2 previous errors
[INFO] [stdout] 
[INFO] [stdout] For more information about this error, try `rustc --explain E0432`.
[INFO] [stdout] Couldn't compile the test.
[INFO] [stdout] 
[INFO] [stdout] failures:
[INFO] [stdout]     src/neural_network/nnet.rs - neural_network::nnet::Nnet<T>::add_layer (line 32)
[INFO] [stdout]     src/neural_network/nnet.rs - neural_network::nnet::Nnet<T>::add_node (line 51)
[INFO] [stdout]     src/tensor_library/matrix.rs - tensor_library::matrix::Matrix<T>::from_iter (line 48)
[INFO] [stdout]     src/tensor_library/utils.rs - tensor_library::utils::calc_concat_shape (line 81)
[INFO] [stdout]     src/tensor_library/utils.rs - tensor_library::utils::calc_size_from_shape (line 37)
[INFO] [stdout]     src/tensor_library/utils.rs - tensor_library::utils::calc_strides_from_shape (line 7)
[INFO] [stdout]     src/tensor_library/utils.rs - tensor_library::utils::check_concat_dims (line 51)
[INFO] [stdout] 
[INFO] [stdout] test result: FAILED. 25 passed; 7 failed; 0 ignored; 0 measured; 0 filtered out; finished in 10.33s
[INFO] [stdout] 
[INFO] [stderr] error: doctest failed, to rerun pass `--doc`
[INFO] running `Command { std: "docker" "inspect" "437cac6d1431b88616619890b6a761d6c3dc1d3ec057f5b822e62866e1b13e7b", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "437cac6d1431b88616619890b6a761d6c3dc1d3ec057f5b822e62866e1b13e7b", kill_on_drop: false }`
[INFO] [stdout] 437cac6d1431b88616619890b6a761d6c3dc1d3ec057f5b822e62866e1b13e7b
