[INFO] updating cached repository helloooooo/learn_deep_learning
[INFO] running `"git" "fetch" "--all"`
[INFO] [stdout] Fetching origin
[INFO] [stderr] From git://github.com/helloooooo/learn_deep_learning
[INFO] [stderr]  * branch            HEAD       -> FETCH_HEAD
[INFO] running `"git" "clone" "work/cache/sources/gh/helloooooo/learn_deep_learning" "work/ex/pr-56896/sources/master#adbfec229ce07ff4b2a7bf2d6dec2d13cb224980/gh/helloooooo/learn_deep_learning"`
[INFO] [stderr] Cloning into 'work/ex/pr-56896/sources/master#adbfec229ce07ff4b2a7bf2d6dec2d13cb224980/gh/helloooooo/learn_deep_learning'...
[INFO] [stderr] done.
[INFO] running `"git" "clone" "work/cache/sources/gh/helloooooo/learn_deep_learning" "work/ex/pr-56896/sources/try#bad365140e1e8233b42b21af70a407f14ce5fec5/gh/helloooooo/learn_deep_learning"`
[INFO] [stderr] Cloning into 'work/ex/pr-56896/sources/try#bad365140e1e8233b42b21af70a407f14ce5fec5/gh/helloooooo/learn_deep_learning'...
[INFO] [stderr] done.
[INFO] running `"git" "rev-parse" "HEAD"`
[INFO] [stdout] 094ea00d204262e73fdb1684d499ebf38ea65d5e
[INFO] sha for GitHub repo helloooooo/learn_deep_learning: 094ea00d204262e73fdb1684d499ebf38ea65d5e
[INFO] validating manifest of helloooooo/learn_deep_learning on toolchain master#adbfec229ce07ff4b2a7bf2d6dec2d13cb224980
[INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+adbfec229ce07ff4b2a7bf2d6dec2d13cb224980-alt" "read-manifest" "--manifest-path" "Cargo.toml"`
[INFO] validating manifest of helloooooo/learn_deep_learning on toolchain try#bad365140e1e8233b42b21af70a407f14ce5fec5
[INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+bad365140e1e8233b42b21af70a407f14ce5fec5-alt" "read-manifest" "--manifest-path" "Cargo.toml"`
[INFO] started frobbing helloooooo/learn_deep_learning
[INFO] finished frobbing helloooooo/learn_deep_learning
[INFO] frobbed toml for helloooooo/learn_deep_learning written to work/ex/pr-56896/sources/master#adbfec229ce07ff4b2a7bf2d6dec2d13cb224980/gh/helloooooo/learn_deep_learning/Cargo.toml
[INFO] started frobbing helloooooo/learn_deep_learning
[INFO] finished frobbing helloooooo/learn_deep_learning
[INFO] frobbed toml for helloooooo/learn_deep_learning written to work/ex/pr-56896/sources/try#bad365140e1e8233b42b21af70a407f14ce5fec5/gh/helloooooo/learn_deep_learning/Cargo.toml
[INFO] crate helloooooo/learn_deep_learning has a lockfile. skipping
[INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+adbfec229ce07ff4b2a7bf2d6dec2d13cb224980-alt" "fetch" "--locked" "--manifest-path" "Cargo.toml"`
[INFO] running `"/mnt/big/crater/work/local/cargo-home/bin/cargo" "+bad365140e1e8233b42b21af70a407f14ce5fec5-alt" "fetch" "--locked" "--manifest-path" "Cargo.toml"`
[INFO] checking helloooooo/learn_deep_learning against master#adbfec229ce07ff4b2a7bf2d6dec2d13cb224980 for pr-56896
[INFO] running `"docker" "create" "-v" "/mnt/big/crater/work/local/target-dirs/pr-56896/worker-6/master#adbfec229ce07ff4b2a7bf2d6dec2d13cb224980:/opt/crater/target:rw,Z" "-v" "/mnt/big/crater/work/ex/pr-56896/sources/master#adbfec229ce07ff4b2a7bf2d6dec2d13cb224980/gh/helloooooo/learn_deep_learning:/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" "+adbfec229ce07ff4b2a7bf2d6dec2d13cb224980-alt" "check" "--frozen" "--all" "--all-targets"`
[INFO] [stdout] 40f8320b4a4e9ba0f71cc3cb63b1bdc14d49d1cd966a8d64cfa395fe17bd0687
[INFO] running `"docker" "start" "-a" "40f8320b4a4e9ba0f71cc3cb63b1bdc14d49d1cd966a8d64cfa395fe17bd0687"`
[INFO] [stderr]     Checking gnuplot v0.0.23
[INFO] [stderr]     Checking mnist v0.4.0
[INFO] [stderr]     Checking base64 v0.8.0
[INFO] [stderr]     Checking futures-cpupool v0.1.7
[INFO] [stderr]     Checking alga v0.5.2
[INFO] [stderr]     Checking tokio-proto v0.1.1
[INFO] [stderr]     Checking native-tls v0.1.4
[INFO] [stderr]     Checking sha-1 v0.4.1
[INFO] [stderr]     Checking tokio-tls v0.1.3
[INFO] [stderr]     Checking hyper v0.11.9
[INFO] [stderr]     Checking nalgebra v0.13.1
[INFO] [stderr]     Checking hyper-tls v0.1.2
[INFO] [stderr]     Checking egg-mode v0.12.0
[INFO] [stderr]     Checking test1 v0.1.0 (/opt/crater/workdir)
[INFO] [stderr] warning: unused imports: `RefMut`, `Ref`
[INFO] [stderr]  --> src/gradient.rs:5:26
[INFO] [stderr]   |
[INFO] [stderr] 5 | use std::cell::{RefCell, Ref, RefMut};
[INFO] [stderr]   |                          ^^^  ^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: #[warn(unused_imports)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `std::cell::RefCell`
[INFO] [stderr]  --> src/nural.rs:5:5
[INFO] [stderr]   |
[INFO] [stderr] 5 | use std::cell::RefCell;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `rows`
[INFO] [stderr]   --> src/main.rs:21:16
[INFO] [stderr]    |
[INFO] [stderr] 21 |     let (size, rows, cols) = (60_000, 28, 28);
[INFO] [stderr]    |                ^^^^ help: consider using `_rows` instead
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(unused_variables)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `cols`
[INFO] [stderr]   --> src/main.rs:21:22
[INFO] [stderr]    |
[INFO] [stderr] 21 |     let (size, rows, cols) = (60_000, 28, 28);
[INFO] [stderr]    |                      ^^^^ help: consider using `_cols` instead
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `batch_size`
[INFO] [stderr]   --> src/main.rs:40:9
[INFO] [stderr]    |
[INFO] [stderr] 40 |     let batch_size = 100;
[INFO] [stderr]    |         ^^^^^^^^^^ help: consider using `_batch_size` instead
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]   --> src/main.rs:33:9
[INFO] [stderr]    |
[INFO] [stderr] 33 |     let mut Two_layer_network = two_layer_net::Two_layer_network {
[INFO] [stderr]    |         ----^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |         |
[INFO] [stderr]    |         help: remove this `mut`
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(unused_mut)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused imports: `RefMut`, `Ref`
[INFO] [stderr]  --> src/gradient.rs:5:26
[INFO] [stderr]   |
[INFO] [stderr] 5 | use std::cell::{RefCell, Ref, RefMut};
[INFO] [stderr]   |                          ^^^  ^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: #[warn(unused_imports)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `std::cell::RefCell`
[INFO] [stderr]  --> src/nural.rs:5:5
[INFO] [stderr]   |
[INFO] [stderr] 5 | use std::cell::RefCell;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: function is never used: `mean_squared_error`
[INFO] [stderr]   --> src/lossfunc.rs:11:1
[INFO] [stderr]    |
[INFO] [stderr] 11 | pub fn mean_squared_error(y: DMatrix<f64>, t: DMatrix<f64>) -> f64 {
[INFO] [stderr]    | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(dead_code)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: function is never used: `numerical_gradient`
[INFO] [stderr]   --> src/gradient.rs:8:1
[INFO] [stderr]    |
[INFO] [stderr] 8  | / pub fn numerical_gradient<
[INFO] [stderr] 9  | |     F: Fn(&DMatrix<f64>,
[INFO] [stderr] 10 | |        &DMatrix<f64>,
[INFO] [stderr] 11 | |        &DMatrix<f64>,
[INFO] [stderr] ...  |
[INFO] [stderr] 38 | |     grad
[INFO] [stderr] 39 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr] 
[INFO] [stderr] warning: function is never used: `function_2`
[INFO] [stderr]   --> src/gradient.rs:40:1
[INFO] [stderr]    |
[INFO] [stderr] 40 | pub fn function_2(x: &mut DMatrix<f64>) -> f64 {
[INFO] [stderr]    | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `predict`
[INFO] [stderr]   --> src/nural.rs:11:5
[INFO] [stderr]    |
[INFO] [stderr] 11 |     pub fn predict(self, x: &DMatrix<f64>) -> DMatrix<f64> {
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `loss`
[INFO] [stderr]   --> src/nural.rs:14:5
[INFO] [stderr]    |
[INFO] [stderr] 14 |     pub fn loss(self, x: &DMatrix<f64>, t: &DMatrix<f64>) -> f64 {
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `numerical_gradient`
[INFO] [stderr]   --> src/two_layer_net.rs:91:5
[INFO] [stderr]    |
[INFO] [stderr] 91 |     pub fn numerical_gradient(&mut self, x: &DMatrix<f64>, t: &DMatrix<f64>) -> grad {
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: function is never used: `loss_w`
[INFO] [stderr]    --> src/two_layer_net.rs:128:1
[INFO] [stderr]     |
[INFO] [stderr] 128 | / pub fn loss_w(
[INFO] [stderr] 129 | |     param: &DMatrix<f64>,
[INFO] [stderr] 130 | |     x: &DMatrix<f64>,
[INFO] [stderr] 131 | |     t: &DMatrix<f64>,
[INFO] [stderr] ...   |
[INFO] [stderr] 135 | |     two.loss(param, x, t, &patern)
[INFO] [stderr] 136 | | }
[INFO] [stderr]     | |_^
[INFO] [stderr] 
[INFO] [stderr] warning: function `axisZerosum` should have a snake case name such as `axis_zerosum`
[INFO] [stderr]   --> src/nural.rs:32:1
[INFO] [stderr]    |
[INFO] [stderr] 32 | / pub fn axisZerosum(x: &DMatrix<f64>) -> DMatrix<f64> {
[INFO] [stderr] 33 | |     let zerosum = DMatrix::<f64>::from_iterator(
[INFO] [stderr] 34 | |         1,
[INFO] [stderr] 35 | |         x.shape().1,
[INFO] [stderr] ...  |
[INFO] [stderr] 44 | |
[INFO] [stderr] 45 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(non_snake_case)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: function `createVec` should have a snake case name such as `create_vec`
[INFO] [stderr]   --> src/nural.rs:47:1
[INFO] [stderr]    |
[INFO] [stderr] 47 | / pub fn createVec(x: usize) -> Vec<usize> {
[INFO] [stderr] 48 | |     let mut vec = Vec::with_capacity(x);
[INFO] [stderr] 49 | |     for i in 0..x {
[INFO] [stderr] 50 | |         vec.push(i);
[INFO] [stderr] 51 | |     }
[INFO] [stderr] 52 | |     vec
[INFO] [stderr] 53 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr] 
[INFO] [stderr] warning: type `grad` should have a camel case name such as `Grad`
[INFO] [stderr]   --> src/two_layer_net.rs:13:1
[INFO] [stderr]    |
[INFO] [stderr] 13 | / pub struct grad {
[INFO] [stderr] 14 | |     pub w1: DMatrix<f64>,
[INFO] [stderr] 15 | |     pub b1: DMatrix<f64>,
[INFO] [stderr] 16 | |     pub w2: DMatrix<f64>,
[INFO] [stderr] 17 | |     pub b2: DMatrix<f64>,
[INFO] [stderr] 18 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(non_camel_case_types)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: type `Two_layer_network` should have a camel case name such as `TwoLayerNetwork`
[INFO] [stderr]   --> src/two_layer_net.rs:19:1
[INFO] [stderr]    |
[INFO] [stderr] 19 | / pub struct Two_layer_network {
[INFO] [stderr] 20 | |     pub w1: Rc<RefCell<DMatrix<f64>>>,
[INFO] [stderr] 21 | |     pub b1: Rc<RefCell<DMatrix<f64>>>,
[INFO] [stderr] 22 | |     pub w2: Rc<RefCell<DMatrix<f64>>>,
[INFO] [stderr] 23 | |     pub b2: Rc<RefCell<DMatrix<f64>>>,
[INFO] [stderr] 24 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr] 
[INFO] [stderr] warning: variable `Two_layer_network` should have a snake case name such as `two_layer_network`
[INFO] [stderr]   --> src/main.rs:33:9
[INFO] [stderr]    |
[INFO] [stderr] 33 |     let mut Two_layer_network = two_layer_net::Two_layer_network {
[INFO] [stderr]    |         ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `rows`
[INFO] [stderr]   --> src/main.rs:21:16
[INFO] [stderr]    |
[INFO] [stderr] 21 |     let (size, rows, cols) = (60_000, 28, 28);
[INFO] [stderr]    |                ^^^^ help: consider using `_rows` instead
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(unused_variables)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `cols`
[INFO] [stderr]   --> src/main.rs:21:22
[INFO] [stderr]    |
[INFO] [stderr] 21 |     let (size, rows, cols) = (60_000, 28, 28);
[INFO] [stderr]    |                      ^^^^ help: consider using `_cols` instead
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `batch_size`
[INFO] [stderr]   --> src/main.rs:40:9
[INFO] [stderr]    |
[INFO] [stderr] 40 |     let batch_size = 100;
[INFO] [stderr]    |         ^^^^^^^^^^ help: consider using `_batch_size` instead
[INFO] [stderr] 
[INFO] [stderr] warning: variable does not need to be mutable
[INFO] [stderr]   --> src/main.rs:33:9
[INFO] [stderr]    |
[INFO] [stderr] 33 |     let mut Two_layer_network = two_layer_net::Two_layer_network {
[INFO] [stderr]    |         ----^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |         |
[INFO] [stderr]    |         help: remove this `mut`
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(unused_mut)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: function is never used: `numerical_gradient`
[INFO] [stderr]   --> src/gradient.rs:8:1
[INFO] [stderr]    |
[INFO] [stderr] 8  | / pub fn numerical_gradient<
[INFO] [stderr] 9  | |     F: Fn(&DMatrix<f64>,
[INFO] [stderr] 10 | |        &DMatrix<f64>,
[INFO] [stderr] 11 | |        &DMatrix<f64>,
[INFO] [stderr] ...  |
[INFO] [stderr] 38 | |     grad
[INFO] [stderr] 39 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(dead_code)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: method is never used: `numerical_gradient`
[INFO] [stderr]   --> src/two_layer_net.rs:91:5
[INFO] [stderr]    |
[INFO] [stderr] 91 |     pub fn numerical_gradient(&mut self, x: &DMatrix<f64>, t: &DMatrix<f64>) -> grad {
[INFO] [stderr]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: function is never used: `loss_w`
[INFO] [stderr]    --> src/two_layer_net.rs:128:1
[INFO] [stderr]     |
[INFO] [stderr] 128 | / pub fn loss_w(
[INFO] [stderr] 129 | |     param: &DMatrix<f64>,
[INFO] [stderr] 130 | |     x: &DMatrix<f64>,
[INFO] [stderr] 131 | |     t: &DMatrix<f64>,
[INFO] [stderr] ...   |
[INFO] [stderr] 135 | |     two.loss(param, x, t, &patern)
[INFO] [stderr] 136 | | }
[INFO] [stderr]     | |_^
[INFO] [stderr] 
[INFO] [stderr] warning: function `axisZerosum` should have a snake case name such as `axis_zerosum`
[INFO] [stderr]   --> src/nural.rs:32:1
[INFO] [stderr]    |
[INFO] [stderr] 32 | / pub fn axisZerosum(x: &DMatrix<f64>) -> DMatrix<f64> {
[INFO] [stderr] 33 | |     let zerosum = DMatrix::<f64>::from_iterator(
[INFO] [stderr] 34 | |         1,
[INFO] [stderr] 35 | |         x.shape().1,
[INFO] [stderr] ...  |
[INFO] [stderr] 44 | |
[INFO] [stderr] 45 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(non_snake_case)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: function `createVec` should have a snake case name such as `create_vec`
[INFO] [stderr]   --> src/nural.rs:47:1
[INFO] [stderr]    |
[INFO] [stderr] 47 | / pub fn createVec(x: usize) -> Vec<usize> {
[INFO] [stderr] 48 | |     let mut vec = Vec::with_capacity(x);
[INFO] [stderr] 49 | |     for i in 0..x {
[INFO] [stderr] 50 | |         vec.push(i);
[INFO] [stderr] 51 | |     }
[INFO] [stderr] 52 | |     vec
[INFO] [stderr] 53 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr] 
[INFO] [stderr] warning: type `grad` should have a camel case name such as `Grad`
[INFO] [stderr]   --> src/two_layer_net.rs:13:1
[INFO] [stderr]    |
[INFO] [stderr] 13 | / pub struct grad {
[INFO] [stderr] 14 | |     pub w1: DMatrix<f64>,
[INFO] [stderr] 15 | |     pub b1: DMatrix<f64>,
[INFO] [stderr] 16 | |     pub w2: DMatrix<f64>,
[INFO] [stderr] 17 | |     pub b2: DMatrix<f64>,
[INFO] [stderr] 18 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr]    |
[INFO] [stderr]    = note: #[warn(non_camel_case_types)] on by default
[INFO] [stderr] 
[INFO] [stderr] warning: type `Two_layer_network` should have a camel case name such as `TwoLayerNetwork`
[INFO] [stderr]   --> src/two_layer_net.rs:19:1
[INFO] [stderr]    |
[INFO] [stderr] 19 | / pub struct Two_layer_network {
[INFO] [stderr] 20 | |     pub w1: Rc<RefCell<DMatrix<f64>>>,
[INFO] [stderr] 21 | |     pub b1: Rc<RefCell<DMatrix<f64>>>,
[INFO] [stderr] 22 | |     pub w2: Rc<RefCell<DMatrix<f64>>>,
[INFO] [stderr] 23 | |     pub b2: Rc<RefCell<DMatrix<f64>>>,
[INFO] [stderr] 24 | | }
[INFO] [stderr]    | |_^
[INFO] [stderr] 
[INFO] [stderr] warning: variable `Two_layer_network` should have a snake case name such as `two_layer_network`
[INFO] [stderr]   --> src/main.rs:33:9
[INFO] [stderr]    |
[INFO] [stderr] 33 |     let mut Two_layer_network = two_layer_net::Two_layer_network {
[INFO] [stderr]    |         ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr]     Finished dev [unoptimized + debuginfo] target(s) in 42.74s
[INFO] running `"docker" "inspect" "40f8320b4a4e9ba0f71cc3cb63b1bdc14d49d1cd966a8d64cfa395fe17bd0687"`
[INFO] running `"docker" "rm" "-f" "40f8320b4a4e9ba0f71cc3cb63b1bdc14d49d1cd966a8d64cfa395fe17bd0687"`
[INFO] [stdout] 40f8320b4a4e9ba0f71cc3cb63b1bdc14d49d1cd966a8d64cfa395fe17bd0687