[INFO] updating cached repository SSebigo/iris-classification
[INFO] running `"git" "fetch" "--all"`
[INFO] [stdout] Fetching origin
[INFO] [stderr] From git://github.com/SSebigo/iris-classification
[INFO] [stderr]  * branch            HEAD       -> FETCH_HEAD
[INFO] running `"git" "clone" "work/cache/sources/gh/SSebigo/iris-classification" "work/ex/pr-63376/sources/master#60960a260f7b5c695fd0717311d72ce62dd4eb43/gh/SSebigo/iris-classification"`
[INFO] [stderr] Cloning into 'work/ex/pr-63376/sources/master#60960a260f7b5c695fd0717311d72ce62dd4eb43/gh/SSebigo/iris-classification'...
[INFO] [stderr] done.
[INFO] running `"git" "clone" "work/cache/sources/gh/SSebigo/iris-classification" "work/ex/pr-63376/sources/try#266783e4e09e4e9d5307c1c8e695659c58bbcac7/gh/SSebigo/iris-classification"`
[INFO] [stderr] Cloning into 'work/ex/pr-63376/sources/try#266783e4e09e4e9d5307c1c8e695659c58bbcac7/gh/SSebigo/iris-classification'...
[INFO] [stderr] done.
[INFO] running `"git" "rev-parse" "HEAD"`
[INFO] [stdout] ed272e1ffc89fae46aa9be255e83b44256b16ae6
[INFO] sha for GitHub repo SSebigo/iris-classification: ed272e1ffc89fae46aa9be255e83b44256b16ae6
[INFO] validating manifest of SSebigo/iris-classification on toolchain master#60960a260f7b5c695fd0717311d72ce62dd4eb43
[INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+60960a260f7b5c695fd0717311d72ce62dd4eb43-alt" "read-manifest" "--manifest-path" "Cargo.toml"`
[INFO] validating manifest of SSebigo/iris-classification on toolchain try#266783e4e09e4e9d5307c1c8e695659c58bbcac7
[INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+266783e4e09e4e9d5307c1c8e695659c58bbcac7-alt" "read-manifest" "--manifest-path" "Cargo.toml"`
[INFO] started frobbing SSebigo/iris-classification
[INFO] finished frobbing SSebigo/iris-classification
[INFO] frobbed toml for SSebigo/iris-classification written to work/ex/pr-63376/sources/master#60960a260f7b5c695fd0717311d72ce62dd4eb43/gh/SSebigo/iris-classification/Cargo.toml
[INFO] started frobbing SSebigo/iris-classification
[INFO] finished frobbing SSebigo/iris-classification
[INFO] frobbed toml for SSebigo/iris-classification written to work/ex/pr-63376/sources/try#266783e4e09e4e9d5307c1c8e695659c58bbcac7/gh/SSebigo/iris-classification/Cargo.toml
[INFO] crate SSebigo/iris-classification already has a lockfile, it will not be regenerated
[INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+60960a260f7b5c695fd0717311d72ce62dd4eb43-alt" "fetch" "--locked" "--manifest-path" "Cargo.toml"`
[INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+266783e4e09e4e9d5307c1c8e695659c58bbcac7-alt" "fetch" "--locked" "--manifest-path" "Cargo.toml"`
[INFO] [stderr]     Blocking waiting for file lock on package cache
[INFO] checking SSebigo/iris-classification against master#60960a260f7b5c695fd0717311d72ce62dd4eb43 for pr-63376
[INFO] running `"docker" "create" "-v" "/mnt/big/crater/work/local/target-dirs/pr-63376/worker-3/master#60960a260f7b5c695fd0717311d72ce62dd4eb43:/opt/crater/target:rw,Z" "-v" "/mnt/big/crater/work/ex/pr-63376/sources/master#60960a260f7b5c695fd0717311d72ce62dd4eb43/gh/SSebigo/iris-classification:/opt/crater/workdir:ro,Z" "-v" "/mnt/big/crater/work/local/cargo-home:/opt/crater/cargo-home:ro,Z" "-v" "/mnt/big/crater/work/local/rustup-home:/opt/crater/rustup-home:ro,Z" "-e" "USER_ID=1000" "-e" "SOURCE_DIR=/opt/crater/workdir" "-e" "MAP_USER_ID=1000" "-e" "CARGO_TARGET_DIR=/opt/crater/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/crater/cargo-home" "-e" "RUSTUP_HOME=/opt/crater/rustup-home" "-w" "/opt/crater/workdir" "-m" "1536M" "--network" "none" "rustops/crates-build-env" "/opt/crater/cargo-home/bin/cargo" "+60960a260f7b5c695fd0717311d72ce62dd4eb43-alt" "check" "--frozen" "--all" "--all-targets"`
[INFO] [stdout] 1134a8bc0ea48f0a76ab2da3a2b0d23675aca62f883677e176a36a09d121c24f
[INFO] running `"docker" "start" "-a" "1134a8bc0ea48f0a76ab2da3a2b0d23675aca62f883677e176a36a09d121c24f"`
[INFO] [stderr]     Checking itertools v0.7.11
[INFO] [stderr]     Checking rand_os v0.1.1
[INFO] [stderr]     Checking rand v0.6.5
[INFO] [stderr]     Checking ndarray v0.12.1
[INFO] [stderr]     Checking ndarray-rand v0.9.0
[INFO] [stderr]     Checking iris-classification v0.1.0 (/opt/crater/workdir)
[INFO] [stderr] warning: unused import: `Array`
[INFO] [stderr]  --> src/model.rs:1:15
[INFO] [stderr]   |
[INFO] [stderr] 1 | use ndarray::{Array, Array2};
[INFO] [stderr]   |               ^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(unused_imports)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `Array`
[INFO] [stderr]  --> src/model.rs:1:15
[INFO] [stderr]   |
[INFO] [stderr] 1 | use ndarray::{Array, Array2};
[INFO] [stderr]   |               ^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(unused_imports)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `test_set`
[INFO] [stderr]   --> src/main.rs:26:21
[INFO] [stderr]    |
[INFO] [stderr] 26 |     let (train_set, test_set) = (train_set.to_vec(), test_set.to_vec());
[INFO] [stderr]    |                     ^^^^^^^^ help: consider prefixing with an underscore: `_test_set`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_variables)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `set_labels`
[INFO] [stderr]   --> src/model.rs:76:52
[INFO] [stderr]    |
[INFO] [stderr] 76 |     pub fn fit(&mut self, training_set: Vec<Iris>, set_labels: Vec<&str>, epochs: usize) {
[INFO] [stderr]    |                                                    ^^^^^^^^^^ help: consider prefixing with an underscore: `_set_labels`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `test_set`
[INFO] [stderr]    --> src/model.rs:132:21
[INFO] [stderr]     |
[INFO] [stderr] 132 |     pub fn evaluate(test_set: Vec<f64>, set_labels: Vec<&str>) -> (usize, usize) {
[INFO] [stderr]     |                     ^^^^^^^^ help: consider prefixing with an underscore: `_test_set`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `set_labels`
[INFO] [stderr]    --> src/model.rs:132:41
[INFO] [stderr]     |
[INFO] [stderr] 132 |     pub fn evaluate(test_set: Vec<f64>, set_labels: Vec<&str>) -> (usize, usize) {
[INFO] [stderr]     |                                         ^^^^^^^^^^ help: consider prefixing with an underscore: `_set_labels`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `prediction_set`
[INFO] [stderr]    --> src/model.rs:136:23
[INFO] [stderr]     |
[INFO] [stderr] 136 |     pub fn predict<T>(prediction_set: T) -> Array2<f64> {
[INFO] [stderr]     |                       ^^^^^^^^^^^^^^ help: consider prefixing with an underscore: `_prediction_set`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `learning_rate`
[INFO] [stderr]    --> src/model.rs:141:13
[INFO] [stderr]     |
[INFO] [stderr] 141 |         let learning_rate = 0.001;
[INFO] [stderr]     |             ^^^^^^^^^^^^^ help: consider prefixing with an underscore: `_learning_rate`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `beta_1`
[INFO] [stderr]    --> src/model.rs:142:13
[INFO] [stderr]     |
[INFO] [stderr] 142 |         let beta_1 = 0.9;
[INFO] [stderr]     |             ^^^^^^ help: consider prefixing with an underscore: `_beta_1`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `beta_2`
[INFO] [stderr]    --> src/model.rs:143:13
[INFO] [stderr]     |
[INFO] [stderr] 143 |         let beta_2 = 0.999;
[INFO] [stderr]     |             ^^^^^^ help: consider prefixing with an underscore: `_beta_2`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `epsilon`
[INFO] [stderr]    --> src/model.rs:144:13
[INFO] [stderr]     |
[INFO] [stderr] 144 |         let epsilon = 10_f64.powf(-8_f64);
[INFO] [stderr]     |             ^^^^^^^ help: consider prefixing with an underscore: `_epsilon`
[INFO] [stderr] 
[INFO] [stderr] warning: cannot borrow `*self` as mutable because it is also borrowed as immutable
[INFO] [stderr]    --> src/model.rs:107:52
[INFO] [stderr]     |
[INFO] [stderr] 104 |                         match self.layers.last() {
[INFO] [stderr]     |                               ----------- immutable borrow occurs here
[INFO] [stderr] ...
[INFO] [stderr] 107 |                                 prediction_error = self.loss(result.neurons.clone(), iris.class.clone());
[INFO] [stderr]     |                                                    ^^^^      -------------- immutable borrow later used here
[INFO] [stderr]     |                                                    |
[INFO] [stderr]     |                                                    mutable borrow occurs here
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(mutable_borrow_reservation_conflict)]` on by default
[INFO] [stderr]     = warning: this borrowing pattern was not meant to be accepted, and may become a hard error in the future
[INFO] [stderr]     = note: for more information, see issue #59159 <https://github.com/rust-lang/rust/issues/59159>
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `sigmoid_prime`
[INFO] [stderr]   --> src/layer.rs:63:5
[INFO] [stderr]    |
[INFO] [stderr] 63 |     fn sigmoid_prime(&mut self) {
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(dead_code)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `evaluate`
[INFO] [stderr]    --> src/model.rs:132:5
[INFO] [stderr]     |
[INFO] [stderr] 132 |     pub fn evaluate(test_set: Vec<f64>, set_labels: Vec<&str>) -> (usize, usize) {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `predict`
[INFO] [stderr]    --> src/model.rs:136:5
[INFO] [stderr]     |
[INFO] [stderr] 136 |     pub fn predict<T>(prediction_set: T) -> Array2<f64> {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `adam_optimizer`
[INFO] [stderr]    --> src/model.rs:140:5
[INFO] [stderr]     |
[INFO] [stderr] 140 |     fn adam_optimizer(&mut self) {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `gradient_descent`
[INFO] [stderr]    --> src/model.rs:147:5
[INFO] [stderr]     |
[INFO] [stderr] 147 |     fn gradient_descent(&mut self) {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `mean_squared_error`
[INFO] [stderr]    --> src/model.rs:155:5
[INFO] [stderr]     |
[INFO] [stderr] 155 |     fn mean_squared_error(&mut self, prediction: Array2<f64>, target: Array2<f64>) -> Array2<f64> {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `test_set`
[INFO] [stderr]   --> src/main.rs:26:21
[INFO] [stderr]    |
[INFO] [stderr] 26 |     let (train_set, test_set) = (train_set.to_vec(), test_set.to_vec());
[INFO] [stderr]    |                     ^^^^^^^^ help: consider prefixing with an underscore: `_test_set`
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(unused_variables)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `set_labels`
[INFO] [stderr]   --> src/model.rs:76:52
[INFO] [stderr]    |
[INFO] [stderr] 76 |     pub fn fit(&mut self, training_set: Vec<Iris>, set_labels: Vec<&str>, epochs: usize) {
[INFO] [stderr]    |                                                    ^^^^^^^^^^ help: consider prefixing with an underscore: `_set_labels`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `test_set`
[INFO] [stderr]    --> src/model.rs:132:21
[INFO] [stderr]     |
[INFO] [stderr] 132 |     pub fn evaluate(test_set: Vec<f64>, set_labels: Vec<&str>) -> (usize, usize) {
[INFO] [stderr]     |                     ^^^^^^^^ help: consider prefixing with an underscore: `_test_set`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `set_labels`
[INFO] [stderr]    --> src/model.rs:132:41
[INFO] [stderr]     |
[INFO] [stderr] 132 |     pub fn evaluate(test_set: Vec<f64>, set_labels: Vec<&str>) -> (usize, usize) {
[INFO] [stderr]     |                                         ^^^^^^^^^^ help: consider prefixing with an underscore: `_set_labels`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `prediction_set`
[INFO] [stderr]    --> src/model.rs:136:23
[INFO] [stderr]     |
[INFO] [stderr] 136 |     pub fn predict<T>(prediction_set: T) -> Array2<f64> {
[INFO] [stderr]     |                       ^^^^^^^^^^^^^^ help: consider prefixing with an underscore: `_prediction_set`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `learning_rate`
[INFO] [stderr]    --> src/model.rs:141:13
[INFO] [stderr]     |
[INFO] [stderr] 141 |         let learning_rate = 0.001;
[INFO] [stderr]     |             ^^^^^^^^^^^^^ help: consider prefixing with an underscore: `_learning_rate`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `beta_1`
[INFO] [stderr]    --> src/model.rs:142:13
[INFO] [stderr]     |
[INFO] [stderr] 142 |         let beta_1 = 0.9;
[INFO] [stderr]     |             ^^^^^^ help: consider prefixing with an underscore: `_beta_1`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `beta_2`
[INFO] [stderr]    --> src/model.rs:143:13
[INFO] [stderr]     |
[INFO] [stderr] 143 |         let beta_2 = 0.999;
[INFO] [stderr]     |             ^^^^^^ help: consider prefixing with an underscore: `_beta_2`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `epsilon`
[INFO] [stderr]    --> src/model.rs:144:13
[INFO] [stderr]     |
[INFO] [stderr] 144 |         let epsilon = 10_f64.powf(-8_f64);
[INFO] [stderr]     |             ^^^^^^^ help: consider prefixing with an underscore: `_epsilon`
[INFO] [stderr] 
[INFO] [stderr] warning: cannot borrow `*self` as mutable because it is also borrowed as immutable
[INFO] [stderr]    --> src/model.rs:107:52
[INFO] [stderr]     |
[INFO] [stderr] 104 |                         match self.layers.last() {
[INFO] [stderr]     |                               ----------- immutable borrow occurs here
[INFO] [stderr] ...
[INFO] [stderr] 107 |                                 prediction_error = self.loss(result.neurons.clone(), iris.class.clone());
[INFO] [stderr]     |                                                    ^^^^      -------------- immutable borrow later used here
[INFO] [stderr]     |                                                    |
[INFO] [stderr]     |                                                    mutable borrow occurs here
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(mutable_borrow_reservation_conflict)]` on by default
[INFO] [stderr]     = warning: this borrowing pattern was not meant to be accepted, and may become a hard error in the future
[INFO] [stderr]     = note: for more information, see issue #59159 <https://github.com/rust-lang/rust/issues/59159>
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `sigmoid_prime`
[INFO] [stderr]   --> src/layer.rs:63:5
[INFO] [stderr]    |
[INFO] [stderr] 63 |     fn sigmoid_prime(&mut self) {
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: `#[warn(dead_code)]` on by default
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `evaluate`
[INFO] [stderr]    --> src/model.rs:132:5
[INFO] [stderr]     |
[INFO] [stderr] 132 |     pub fn evaluate(test_set: Vec<f64>, set_labels: Vec<&str>) -> (usize, usize) {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `predict`
[INFO] [stderr]    --> src/model.rs:136:5
[INFO] [stderr]     |
[INFO] [stderr] 136 |     pub fn predict<T>(prediction_set: T) -> Array2<f64> {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `adam_optimizer`
[INFO] [stderr]    --> src/model.rs:140:5
[INFO] [stderr]     |
[INFO] [stderr] 140 |     fn adam_optimizer(&mut self) {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `gradient_descent`
[INFO] [stderr]    --> src/model.rs:147:5
[INFO] [stderr]     |
[INFO] [stderr] 147 |     fn gradient_descent(&mut self) {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `mean_squared_error`
[INFO] [stderr]    --> src/model.rs:155:5
[INFO] [stderr]     |
[INFO] [stderr] 155 |     fn mean_squared_error(&mut self, prediction: Array2<f64>, target: Array2<f64>) -> Array2<f64> {
[INFO] [stderr]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr]     Finished dev [unoptimized + debuginfo] target(s) in 12.35s
[INFO] running `"docker" "inspect" "1134a8bc0ea48f0a76ab2da3a2b0d23675aca62f883677e176a36a09d121c24f"`
[INFO] running `"docker" "rm" "-f" "1134a8bc0ea48f0a76ab2da3a2b0d23675aca62f883677e176a36a09d121c24f"`
[INFO] [stdout] 1134a8bc0ea48f0a76ab2da3a2b0d23675aca62f883677e176a36a09d121c24f