[INFO] fetching crate ferrite-rs 0.0.1-beta.2...
[INFO] testing ferrite-rs-0.0.1-beta.2 against try#b83b707f97d809763b7861afa7638871f3339a33 for pr-145838-1
[INFO] extracting crate ferrite-rs 0.0.1-beta.2 into /workspace/builds/worker-4-tc2/source
[INFO] started tweaking crates.io crate ferrite-rs 0.0.1-beta.2
[INFO] finished tweaking crates.io crate ferrite-rs 0.0.1-beta.2
[INFO] tweaked toml for crates.io crate ferrite-rs 0.0.1-beta.2 written to /workspace/builds/worker-4-tc2/source/Cargo.toml
[INFO] validating manifest of crates.io crate ferrite-rs 0.0.1-beta.2 on toolchain b83b707f97d809763b7861afa7638871f3339a33
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate ferrite-rs 0.0.1-beta.2 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" "+b83b707f97d809763b7861afa7638871f3339a33" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-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@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] 302b4b5781851658df8b8ec53b3284cfbe0cc149a7df7999ba0f802debf754fc
[INFO] running `Command { std: "docker" "start" "-a" "302b4b5781851658df8b8ec53b3284cfbe0cc149a7df7999ba0f802debf754fc", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "302b4b5781851658df8b8ec53b3284cfbe0cc149a7df7999ba0f802debf754fc", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "302b4b5781851658df8b8ec53b3284cfbe0cc149a7df7999ba0f802debf754fc", kill_on_drop: false }`
[INFO] [stdout] 302b4b5781851658df8b8ec53b3284cfbe0cc149a7df7999ba0f802debf754fc
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "build" "--frozen" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] fecf153f40bb89903a1b8b0775f54d3fda6f37cb92f23382607fd128892ef3c7
[INFO] running `Command { std: "docker" "start" "-a" "fecf153f40bb89903a1b8b0775f54d3fda6f37cb92f23382607fd128892ef3c7", kill_on_drop: false }`
[INFO] [stderr]    Compiling unicode-ident v1.0.17
[INFO] [stderr]    Compiling libm v0.2.11
[INFO] [stderr]    Compiling libc v0.2.170
[INFO] [stderr]    Compiling num-traits v0.2.19
[INFO] [stderr]    Compiling matrixmultiply v0.3.9
[INFO] [stderr]    Compiling serde v1.0.218
[INFO] [stderr]    Compiling memchr v2.7.4
[INFO] [stderr]    Compiling proc-macro2 v1.0.93
[INFO] [stderr]    Compiling quote v1.0.38
[INFO] [stderr]    Compiling csv-core v0.1.12
[INFO] [stderr]    Compiling syn v2.0.98
[INFO] [stderr]    Compiling getrandom v0.2.15
[INFO] [stderr]    Compiling rand_core v0.6.4
[INFO] [stderr]    Compiling num-integer v0.1.46
[INFO] [stderr]    Compiling num-complex v0.4.6
[INFO] [stderr]    Compiling ndarray v0.16.1
[INFO] [stderr]    Compiling csv v1.3.1
[INFO] [stderr]    Compiling zerocopy-derive v0.7.35
[INFO] [stderr]    Compiling zerocopy v0.7.35
[INFO] [stderr]    Compiling ppv-lite86 v0.2.20
[INFO] [stderr]    Compiling rand_chacha v0.3.1
[INFO] [stderr]    Compiling rand v0.8.5
[INFO] [stderr]    Compiling rand_distr v0.4.3
[INFO] [stderr]    Compiling ndarray-rand v0.15.0
[INFO] [stderr]    Compiling ferrite-rs v0.0.1-beta.2 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused import: `ndarray::indices`
[INFO] [stdout]  --> src/multivariate_regression/gradient/mod.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use ndarray::indices;
[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 import: `ndarray::Array2`
[INFO] [stdout]  --> src/multivariate_regression/gradient/gradient_type.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::Array2;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::matrix_operations::mat_mul::matrix_mul`
[INFO] [stdout]  --> src/multivariate_regression/gradient/gradient_type.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use crate::matrix_operations::mat_mul::matrix_mul;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Axis`
[INFO] [stdout]  --> src/multivariate_regression/update_weight/mod.rs:1:23
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::{Array2, Axis, s};
[INFO] [stdout]   |                       ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `MiniBatchSize`
[INFO] [stdout]  --> src/multivariate_regression/training/train.rs:8:68
[INFO] [stdout]   |
[INFO] [stdout] 8 | use crate::multivariate_regression::update_weight::{update_weight, MiniBatchSize, UpdatationMethod};
[INFO] [stdout]   |                                                                    ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `read_input_output` and `train_test_split`
[INFO] [stdout]   --> src/lib.rs:21:14
[INFO] [stdout]    |
[INFO] [stdout] 21 | use csv_io::{read_input_output, train_test_split};
[INFO] [stdout]    |              ^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `headers`
[INFO] [stdout]    --> src/csv_io/mod.rs:151:5
[INFO] [stdout]     |
[INFO] [stdout] 151 |     headers: Vec<String>,
[INFO] [stdout]     |     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_headers`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `raw_gradient_matrix` is never read
[INFO] [stdout]   --> src/multivariate_regression/gradient/mod.rs:41:17
[INFO] [stdout]    |
[INFO] [stdout] 41 |         let mut raw_gradient_matrix = Array2::<f64>::zeros((weight.nrows(), weight.ncols()));
[INFO] [stdout]    |                 ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = help: maybe it is overwritten before being read?
[INFO] [stdout]    = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `normalization_parameter_type` is never read
[INFO] [stdout]  --> src/multivariate_regression/input/input.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | pub struct Input {
[INFO] [stdout]   |            ----- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 7 |     normalization_parameter_type: NormalizationParameterType,
[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 `denormalize_data` is never used
[INFO] [stdout]   --> src/multivariate_regression/normalization/normalization.rs:50:8
[INFO] [stdout]    |
[INFO] [stdout] 50 | pub fn denormalize_data(
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `get`, `update`, `multiply`, and `print` are never used
[INFO] [stdout]   --> src/multivariate_regression/weight/weight.rs:10:12
[INFO] [stdout]    |
[INFO] [stdout]  9 | impl Weight {
[INFO] [stdout]    | ----------- methods in this implementation
[INFO] [stdout] 10 |     pub fn get(&self) -> Array2<f64>{
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 23 |     pub fn update(&mut self ,lr : f64, gradient : &Array2<f64>){
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 26 |     pub fn multiply(&self, input: &Array2<f64>) -> Array2<f64> {
[INFO] [stdout]    |            ^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 30 |     pub fn print(&self){
[INFO] [stdout]    |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 12.57s
[INFO] running `Command { std: "docker" "inspect" "fecf153f40bb89903a1b8b0775f54d3fda6f37cb92f23382607fd128892ef3c7", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "fecf153f40bb89903a1b8b0775f54d3fda6f37cb92f23382607fd128892ef3c7", kill_on_drop: false }`
[INFO] [stdout] fecf153f40bb89903a1b8b0775f54d3fda6f37cb92f23382607fd128892ef3c7
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 8804cb37b7bd92ff4f967daa93cc37ccf7192bb47512dba50e84bacaa9a9ccc9
[INFO] running `Command { std: "docker" "start" "-a" "8804cb37b7bd92ff4f967daa93cc37ccf7192bb47512dba50e84bacaa9a9ccc9", kill_on_drop: false }`
[INFO] [stderr]    Compiling ferrite-rs v0.0.1-beta.2 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused import: `ndarray::indices`
[INFO] [stdout]  --> src/multivariate_regression/gradient/mod.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use ndarray::indices;
[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 import: `ndarray::Array2`
[INFO] [stdout]  --> src/multivariate_regression/gradient/gradient_type.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::Array2;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::matrix_operations::mat_mul::matrix_mul`
[INFO] [stdout]  --> src/multivariate_regression/gradient/gradient_type.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use crate::matrix_operations::mat_mul::matrix_mul;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Axis`
[INFO] [stdout]  --> src/multivariate_regression/update_weight/mod.rs:1:23
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::{Array2, Axis, s};
[INFO] [stdout]   |                       ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `MiniBatchSize`
[INFO] [stdout]  --> src/multivariate_regression/training/train.rs:8:68
[INFO] [stdout]   |
[INFO] [stdout] 8 | use crate::multivariate_regression::update_weight::{update_weight, MiniBatchSize, UpdatationMethod};
[INFO] [stdout]   |                                                                    ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `read_input_output` and `train_test_split`
[INFO] [stdout]   --> src/lib.rs:21:14
[INFO] [stdout]    |
[INFO] [stdout] 21 | use csv_io::{read_input_output, train_test_split};
[INFO] [stdout]    |              ^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `headers`
[INFO] [stdout]    --> src/csv_io/mod.rs:151:5
[INFO] [stdout]     |
[INFO] [stdout] 151 |     headers: Vec<String>,
[INFO] [stdout]     |     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_headers`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `raw_gradient_matrix` is never read
[INFO] [stdout]   --> src/multivariate_regression/gradient/mod.rs:41:17
[INFO] [stdout]    |
[INFO] [stdout] 41 |         let mut raw_gradient_matrix = Array2::<f64>::zeros((weight.nrows(), weight.ncols()));
[INFO] [stdout]    |                 ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = help: maybe it is overwritten before being read?
[INFO] [stdout]    = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `normalization_parameter_type` is never read
[INFO] [stdout]  --> src/multivariate_regression/input/input.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | pub struct Input {
[INFO] [stdout]   |            ----- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 7 |     normalization_parameter_type: NormalizationParameterType,
[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 `denormalize_data` is never used
[INFO] [stdout]   --> src/multivariate_regression/normalization/normalization.rs:50:8
[INFO] [stdout]    |
[INFO] [stdout] 50 | pub fn denormalize_data(
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `get`, `update`, `multiply`, and `print` are never used
[INFO] [stdout]   --> src/multivariate_regression/weight/weight.rs:10:12
[INFO] [stdout]    |
[INFO] [stdout]  9 | impl Weight {
[INFO] [stdout]    | ----------- methods in this implementation
[INFO] [stdout] 10 |     pub fn get(&self) -> Array2<f64>{
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 23 |     pub fn update(&mut self ,lr : f64, gradient : &Array2<f64>){
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 26 |     pub fn multiply(&self, input: &Array2<f64>) -> Array2<f64> {
[INFO] [stdout]    |            ^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 30 |     pub fn print(&self){
[INFO] [stdout]    |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ndarray::indices`
[INFO] [stdout]  --> src/multivariate_regression/gradient/mod.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use ndarray::indices;
[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 import: `ndarray::Array2`
[INFO] [stdout]  --> src/multivariate_regression/gradient/gradient_type.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::Array2;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::matrix_operations::mat_mul::matrix_mul`
[INFO] [stdout]  --> src/multivariate_regression/gradient/gradient_type.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use crate::matrix_operations::mat_mul::matrix_mul;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Axis`
[INFO] [stdout]  --> src/multivariate_regression/update_weight/mod.rs:1:23
[INFO] [stdout]   |
[INFO] [stdout] 1 | use ndarray::{Array2, Axis, s};
[INFO] [stdout]   |                       ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `MiniBatchSize`
[INFO] [stdout]  --> src/multivariate_regression/training/train.rs:8:68
[INFO] [stdout]   |
[INFO] [stdout] 8 | use crate::multivariate_regression::update_weight::{update_weight, MiniBatchSize, UpdatationMethod};
[INFO] [stdout]   |                                                                    ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `MiniBatchSize`
[INFO] [stdout]   --> src/lib.rs:31:57
[INFO] [stdout]    |
[INFO] [stdout] 31 |     use crate::multivariate_regression::update_weight::{MiniBatchSize, UpdatationMethod};
[INFO] [stdout]    |                                                         ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `headers`
[INFO] [stdout]    --> src/csv_io/mod.rs:151:5
[INFO] [stdout]     |
[INFO] [stdout] 151 |     headers: Vec<String>,
[INFO] [stdout]     |     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_headers`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `raw_gradient_matrix` is never read
[INFO] [stdout]   --> src/multivariate_regression/gradient/mod.rs:41:17
[INFO] [stdout]    |
[INFO] [stdout] 41 |         let mut raw_gradient_matrix = Array2::<f64>::zeros((weight.nrows(), weight.ncols()));
[INFO] [stdout]    |                 ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = help: maybe it is overwritten before being read?
[INFO] [stdout]    = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_test`
[INFO] [stdout]   --> src/lib.rs:41:32
[INFO] [stdout]    |
[INFO] [stdout] 41 |         let (x_train, y_train, x_test, y_test) = train_test_split(input, output, 0.7)
[INFO] [stdout]    |                                ^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `y_test`
[INFO] [stdout]   --> src/lib.rs:41:40
[INFO] [stdout]    |
[INFO] [stdout] 41 |         let (x_train, y_train, x_test, y_test) = train_test_split(input, output, 0.7)
[INFO] [stdout]    |                                        ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_test`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `normalization_parameter_type` is never read
[INFO] [stdout]  --> src/multivariate_regression/input/input.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | pub struct Input {
[INFO] [stdout]   |            ----- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 7 |     normalization_parameter_type: NormalizationParameterType,
[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 `denormalize_data` is never used
[INFO] [stdout]   --> src/multivariate_regression/normalization/normalization.rs:50:8
[INFO] [stdout]    |
[INFO] [stdout] 50 | pub fn denormalize_data(
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `get`, `update`, `multiply`, and `print` are never used
[INFO] [stdout]   --> src/multivariate_regression/weight/weight.rs:10:12
[INFO] [stdout]    |
[INFO] [stdout]  9 | impl Weight {
[INFO] [stdout]    | ----------- methods in this implementation
[INFO] [stdout] 10 |     pub fn get(&self) -> Array2<f64>{
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 23 |     pub fn update(&mut self ,lr : f64, gradient : &Array2<f64>){
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 26 |     pub fn multiply(&self, input: &Array2<f64>) -> Array2<f64> {
[INFO] [stdout]    |            ^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 30 |     pub fn print(&self){
[INFO] [stdout]    |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 1.23s
[INFO] running `Command { std: "docker" "inspect" "8804cb37b7bd92ff4f967daa93cc37ccf7192bb47512dba50e84bacaa9a9ccc9", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "8804cb37b7bd92ff4f967daa93cc37ccf7192bb47512dba50e84bacaa9a9ccc9", kill_on_drop: false }`
[INFO] [stdout] 8804cb37b7bd92ff4f967daa93cc37ccf7192bb47512dba50e84bacaa9a9ccc9
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+b83b707f97d809763b7861afa7638871f3339a33" "test" "--frozen", kill_on_drop: false }`
[INFO] [stdout] 2779c5fd450be2d73d638a72ab127f81cab9b7d5b2709ee7087e7f350eccdfde
[INFO] running `Command { std: "docker" "start" "-a" "2779c5fd450be2d73d638a72ab127f81cab9b7d5b2709ee7087e7f350eccdfde", kill_on_drop: false }`
[INFO] [stderr] warning: unused import: `ndarray::indices`
[INFO] [stderr]  --> src/multivariate_regression/gradient/mod.rs:5:5
[INFO] [stderr]   |
[INFO] [stderr] 5 | use ndarray::indices;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `ndarray::Array2`
[INFO] [stderr]  --> src/multivariate_regression/gradient/gradient_type.rs:1:5
[INFO] [stderr]   |
[INFO] [stderr] 1 | use ndarray::Array2;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `crate::matrix_operations::mat_mul::matrix_mul`
[INFO] [stderr]  --> src/multivariate_regression/gradient/gradient_type.rs:2:5
[INFO] [stderr]   |
[INFO] [stderr] 2 | use crate::matrix_operations::mat_mul::matrix_mul;
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `Axis`
[INFO] [stderr]  --> src/multivariate_regression/update_weight/mod.rs:1:23
[INFO] [stderr]   |
[INFO] [stderr] 1 | use ndarray::{Array2, Axis, s};
[INFO] [stderr]   |                       ^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `MiniBatchSize`
[INFO] [stderr]  --> src/multivariate_regression/training/train.rs:8:68
[INFO] [stderr]   |
[INFO] [stderr] 8 | use crate::multivariate_regression::update_weight::{update_weight, MiniBatchSize, UpdatationMethod};
[INFO] [stderr]   |                                                                    ^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused imports: `read_input_output` and `train_test_split`
[INFO] [stderr]   --> src/lib.rs:21:14
[INFO] [stderr]    |
[INFO] [stderr] 21 | use csv_io::{read_input_output, train_test_split};
[INFO] [stderr]    |              ^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `headers`
[INFO] [stderr]    --> src/csv_io/mod.rs:151:5
[INFO] [stderr]     |
[INFO] [stderr] 151 |     headers: Vec<String>,
[INFO] [stderr]     |     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_headers`
[INFO] [stderr]     |
[INFO] [stderr]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: value assigned to `raw_gradient_matrix` is never read
[INFO] [stderr]   --> src/multivariate_regression/gradient/mod.rs:41:17
[INFO] [stderr]    |
[INFO] [stderr] 41 |         let mut raw_gradient_matrix = Array2::<f64>::zeros((weight.nrows(), weight.ncols()));
[INFO] [stderr]    |                 ^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]    |
[INFO] [stderr]    = help: maybe it is overwritten before being read?
[INFO] [stderr]    = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: field `normalization_parameter_type` is never read
[INFO] [stderr]  --> src/multivariate_regression/input/input.rs:7:5
[INFO] [stderr]   |
[INFO] [stderr] 4 | pub struct Input {
[INFO] [stderr]   |            ----- field in this struct
[INFO] [stderr] ...
[INFO] [stderr] 7 |     normalization_parameter_type: NormalizationParameterType,
[INFO] [stderr]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stderr]   |
[INFO] [stderr]   = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stderr] 
[INFO] [stderr] warning: function `denormalize_data` is never used
[INFO] [stderr]   --> src/multivariate_regression/normalization/normalization.rs:50:8
[INFO] [stderr]    |
[INFO] [stderr] 50 | pub fn denormalize_data(
[INFO] [stderr]    |        ^^^^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: methods `get`, `update`, `multiply`, and `print` are never used
[INFO] [stderr]   --> src/multivariate_regression/weight/weight.rs:10:12
[INFO] [stderr]    |
[INFO] [stderr]  9 | impl Weight {
[INFO] [stderr]    | ----------- methods in this implementation
[INFO] [stderr] 10 |     pub fn get(&self) -> Array2<f64>{
[INFO] [stderr]    |            ^^^
[INFO] [stderr] ...
[INFO] [stderr] 23 |     pub fn update(&mut self ,lr : f64, gradient : &Array2<f64>){
[INFO] [stderr]    |            ^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 26 |     pub fn multiply(&self, input: &Array2<f64>) -> Array2<f64> {
[INFO] [stderr]    |            ^^^^^^^^
[INFO] [stderr] ...
[INFO] [stderr] 30 |     pub fn print(&self){
[INFO] [stderr]    |            ^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused import: `MiniBatchSize`
[INFO] [stderr]   --> src/lib.rs:31:57
[INFO] [stderr]    |
[INFO] [stderr] 31 |     use crate::multivariate_regression::update_weight::{MiniBatchSize, UpdatationMethod};
[INFO] [stderr]    |                                                         ^^^^^^^^^^^^^
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `x_test`
[INFO] [stderr]   --> src/lib.rs:41:32
[INFO] [stderr]    |
[INFO] [stderr] 41 |         let (x_train, y_train, x_test, y_test) = train_test_split(input, output, 0.7)
[INFO] [stderr]    |                                ^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_test`
[INFO] [stderr] 
[INFO] [stderr] warning: unused variable: `y_test`
[INFO] [stderr]   --> src/lib.rs:41:40
[INFO] [stderr]    |
[INFO] [stderr] 41 |         let (x_train, y_train, x_test, y_test) = train_test_split(input, output, 0.7)
[INFO] [stderr]    |                                        ^^^^^^ help: if this is intentional, prefix it with an underscore: `_y_test`
[INFO] [stderr] 
[INFO] [stderr] warning: `ferrite-rs` (lib) generated 11 warnings (run `cargo fix --lib -p ferrite-rs` to apply 6 suggestions)
[INFO] [stderr] warning: `ferrite-rs` (lib test) generated 13 warnings (10 duplicates) (run `cargo fix --lib -p ferrite-rs --tests` to apply 1 suggestion)
[INFO] [stderr]     Finished `test` profile [unoptimized + debuginfo] target(s) in 0.07s
[INFO] [stderr]      Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/ferrite_rs-1cac31943d520ed2)
[INFO] [stdout] 
[INFO] [stdout] running 1 test
[INFO] [stdout] test tests::train_test ... ok
[INFO] [stdout] 
[INFO] [stdout] test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 1.24s
[INFO] [stdout] 
[INFO] [stderr]    Doc-tests ferrite_rs
[INFO] [stdout] 
[INFO] [stdout] running 1 test
[INFO] [stdout] test src/lib.rs - (line 12) ... FAILED
[INFO] [stdout] 
[INFO] [stdout] failures:
[INFO] [stdout] 
[INFO] [stdout] ---- src/lib.rs - (line 12) stdout ----
[INFO] [stdout] error[E0433]: failed to resolve: use of unresolved module or unlinked crate `ferrite`
[INFO] [stdout]  --> src/lib.rs:13:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use ferrite::csv_io::read_input_output;
[INFO] [stdout]   |     ^^^^^^^ use of unresolved module or unlinked crate `ferrite`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ferrite`, use `cargo add ferrite` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 1 previous error
[INFO] [stdout] 
[INFO] [stdout] For more information about this error, try `rustc --explain E0433`.
[INFO] [stdout] Couldn't compile the test.
[INFO] [stdout] 
[INFO] [stdout] failures:
[INFO] [stdout]     src/lib.rs - (line 12)
[INFO] [stdout] 
[INFO] [stdout] test result: FAILED. 0 passed; 1 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.12s
[INFO] [stdout] 
[INFO] [stderr] error: doctest failed, to rerun pass `--doc`
[INFO] running `Command { std: "docker" "inspect" "2779c5fd450be2d73d638a72ab127f81cab9b7d5b2709ee7087e7f350eccdfde", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "2779c5fd450be2d73d638a72ab127f81cab9b7d5b2709ee7087e7f350eccdfde", kill_on_drop: false }`
[INFO] [stdout] 2779c5fd450be2d73d638a72ab127f81cab9b7d5b2709ee7087e7f350eccdfde