[INFO] fetching crate ferrite-rs 0.0.1-beta.2... [INFO] testing ferrite-rs-0.0.1-beta.2 against try#8de4c7234dd9b97c9d76b58671343fdbbc9a433e+target=x86_64-unknown-linux-musl for musl_upgrade_1_2_5_with_libc_patch_0 [INFO] extracting crate ferrite-rs 0.0.1-beta.2 into /workspace/builds/worker-3-tc1/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-3-tc1/source/Cargo.toml [INFO] validating manifest of crates.io crate ferrite-rs 0.0.1-beta.2 on toolchain 8de4c7234dd9b97c9d76b58671343fdbbc9a433e [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "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" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Downloading crates ... [INFO] [stderr] Downloaded ndarray-rand v0.15.0 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:90999bfc7ae267e83380e433d8e61a7c072ca6729e92edbae886d3423b3a6f4c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] dcc10eaa29d1bfc1a4997d9bb139dcbeeed22ca346c76990b5fd1b03bff8b139 [INFO] running `Command { std: "docker" "start" "-a" "dcc10eaa29d1bfc1a4997d9bb139dcbeeed22ca346c76990b5fd1b03bff8b139", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "dcc10eaa29d1bfc1a4997d9bb139dcbeeed22ca346c76990b5fd1b03bff8b139", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "dcc10eaa29d1bfc1a4997d9bb139dcbeeed22ca346c76990b5fd1b03bff8b139", kill_on_drop: false }` [INFO] [stdout] dcc10eaa29d1bfc1a4997d9bb139dcbeeed22ca346c76990b5fd1b03bff8b139 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=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@sha256:90999bfc7ae267e83380e433d8e61a7c072ca6729e92edbae886d3423b3a6f4c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "build" "--frozen" "--message-format=json" "--target" "x86_64-unknown-linux-musl", kill_on_drop: false }` [INFO] [stdout] 57e98fffea26081425cb507582438e679569a4ac7d872581e5d74b890424768c [INFO] running `Command { std: "docker" "start" "-a" "57e98fffea26081425cb507582438e679569a4ac7d872581e5d74b890424768c", kill_on_drop: false }` [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 byteorder v1.5.0 [INFO] [stderr] Compiling matrixmultiply v0.3.9 [INFO] [stderr] Compiling serde v1.0.218 [INFO] [stderr] Compiling rawpointer v0.2.1 [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 syn v2.0.98 [INFO] [stderr] Compiling csv-core v0.1.12 [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 zerocopy-derive v0.7.35 [INFO] [stderr] Compiling csv v1.3.1 [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)]` 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, [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_headers` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` 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::::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)]` 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)]` 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{ [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 23 | pub fn update(&mut self ,lr : f64, gradient : &Array2){ [INFO] [stdout] | ^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 26 | pub fn multiply(&self, input: &Array2) -> Array2 { [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 13.22s [INFO] running `Command { std: "docker" "inspect" "57e98fffea26081425cb507582438e679569a4ac7d872581e5d74b890424768c", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "57e98fffea26081425cb507582438e679569a4ac7d872581e5d74b890424768c", kill_on_drop: false }` [INFO] [stdout] 57e98fffea26081425cb507582438e679569a4ac7d872581e5d74b890424768c [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=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@sha256:90999bfc7ae267e83380e433d8e61a7c072ca6729e92edbae886d3423b3a6f4c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "test" "--frozen" "--no-run" "--message-format=json" "--target" "x86_64-unknown-linux-musl", kill_on_drop: false }` [INFO] [stdout] 7766ce1e8095c5e7306e9c959c8e0ad6937d218a67733fbe8362341be24b9fe6 [INFO] running `Command { std: "docker" "start" "-a" "7766ce1e8095c5e7306e9c959c8e0ad6937d218a67733fbe8362341be24b9fe6", 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)]` 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, [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_headers` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` 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::::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)]` 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)]` 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{ [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 23 | pub fn update(&mut self ,lr : f64, gradient : &Array2){ [INFO] [stdout] | ^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 26 | pub fn multiply(&self, input: &Array2) -> Array2 { [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)]` 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, [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_headers` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` 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::::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)]` 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)]` 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{ [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 23 | pub fn update(&mut self ,lr : f64, gradient : &Array2){ [INFO] [stdout] | ^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 26 | pub fn multiply(&self, input: &Array2) -> Array2 { [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 2.01s [INFO] running `Command { std: "docker" "inspect" "7766ce1e8095c5e7306e9c959c8e0ad6937d218a67733fbe8362341be24b9fe6", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "7766ce1e8095c5e7306e9c959c8e0ad6937d218a67733fbe8362341be24b9fe6", kill_on_drop: false }` [INFO] [stdout] 7766ce1e8095c5e7306e9c959c8e0ad6937d218a67733fbe8362341be24b9fe6 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=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@sha256:90999bfc7ae267e83380e433d8e61a7c072ca6729e92edbae886d3423b3a6f4c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "test" "--frozen" "--target" "x86_64-unknown-linux-musl", kill_on_drop: false }` [INFO] [stdout] 2f3e57d5bbb3a705f85540934bf60cd64308590055860a35cc71eb946301d4ce [INFO] running `Command { std: "docker" "start" "-a" "2f3e57d5bbb3a705f85540934bf60cd64308590055860a35cc71eb946301d4ce", 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)]` 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, [INFO] [stderr] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_headers` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` 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::::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)]` 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)]` 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{ [INFO] [stderr] | ^^^ [INFO] [stderr] ... [INFO] [stderr] 23 | pub fn update(&mut self ,lr : f64, gradient : &Array2){ [INFO] [stderr] | ^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 26 | pub fn multiply(&self, input: &Array2) -> Array2 { [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 0.08s [INFO] [stderr] Running unittests src/lib.rs (/opt/rustwide/target/x86_64-unknown-linux-musl/debug/deps/ferrite_rs-03c57142fc7ccf21) [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 1.34s [INFO] [stdout] [INFO] running `Command { std: "docker" "inspect" "2f3e57d5bbb3a705f85540934bf60cd64308590055860a35cc71eb946301d4ce", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "2f3e57d5bbb3a705f85540934bf60cd64308590055860a35cc71eb946301d4ce", kill_on_drop: false }` [INFO] [stdout] 2f3e57d5bbb3a705f85540934bf60cd64308590055860a35cc71eb946301d4ce