[INFO] cloning repository https://github.com/Interseptor06/Cryptonic [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/Interseptor06/Cryptonic" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FInterseptor06%2FCryptonic", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FInterseptor06%2FCryptonic'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] 76fb0ca1fd48b4771e8703e471edce4a70909e4d [INFO] testing Interseptor06/Cryptonic against beta-2023-10-04 for beta-1.74-1 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FInterseptor06%2FCryptonic" "/workspace/builds/worker-0-tc2/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-0-tc2/source'... [INFO] [stderr] done. [INFO] validating manifest of git repo https://github.com/Interseptor06/Cryptonic on toolchain beta-2023-10-04 [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+beta-2023-10-04" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] started tweaking git repo https://github.com/Interseptor06/Cryptonic [INFO] finished tweaking git repo https://github.com/Interseptor06/Cryptonic [INFO] tweaked toml for git repo https://github.com/Interseptor06/Cryptonic written to /workspace/builds/worker-0-tc2/source/Cargo.toml [INFO] crate git repo https://github.com/Interseptor06/Cryptonic already has a lockfile, it will not be regenerated [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+beta-2023-10-04" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-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@sha256:4f8da3c744d2da974e54ce020a79f4ad54313e914ebeaab8fc086f07e8d8b066" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2023-10-04" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 66ecb59d3116e7b8392bc7d777789d3e52e635d2ac5bee99ef7caace2e2dead8 [INFO] running `Command { std: "docker" "start" "-a" "66ecb59d3116e7b8392bc7d777789d3e52e635d2ac5bee99ef7caace2e2dead8", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "66ecb59d3116e7b8392bc7d777789d3e52e635d2ac5bee99ef7caace2e2dead8", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "66ecb59d3116e7b8392bc7d777789d3e52e635d2ac5bee99ef7caace2e2dead8", kill_on_drop: false }` [INFO] [stdout] 66ecb59d3116e7b8392bc7d777789d3e52e635d2ac5bee99ef7caace2e2dead8 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:4f8da3c744d2da974e54ce020a79f4ad54313e914ebeaab8fc086f07e8d8b066" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2023-10-04" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 875f31c70a86a6d6929fa310067791fef5742edc33d405ef1dd6cf689e02c9ac [INFO] running `Command { std: "docker" "start" "-a" "875f31c70a86a6d6929fa310067791fef5742edc33d405ef1dd6cf689e02c9ac", kill_on_drop: false }` [INFO] [stderr] Compiling proc-macro2 v1.0.50 [INFO] [stderr] Compiling quote v1.0.23 [INFO] [stderr] Compiling unicode-ident v1.0.6 [INFO] [stderr] Compiling typenum v1.16.0 [INFO] [stderr] Compiling crossbeam-utils v0.8.14 [INFO] [stderr] Compiling syn v1.0.107 [INFO] [stderr] Compiling generic-array v0.14.6 [INFO] [stderr] Compiling memoffset v0.7.1 [INFO] [stderr] Compiling serde_derive v1.0.152 [INFO] [stderr] Compiling crossbeam-epoch v0.9.13 [INFO] [stderr] Compiling libc v0.2.139 [INFO] [stderr] Compiling serde v1.0.152 [INFO] [stderr] Compiling num-traits v0.2.15 [INFO] [stderr] Compiling rayon-core v1.10.2 [INFO] [stderr] Compiling either v1.8.1 [INFO] [stderr] Compiling cpufeatures v0.2.5 [INFO] [stderr] Compiling paste v1.0.11 [INFO] [stderr] Compiling concrete-csprng v0.3.0 [INFO] [stderr] Compiling crossbeam-channel v0.5.6 [INFO] [stderr] Compiling crossbeam-deque v0.8.2 [INFO] [stderr] Compiling reborrow v0.5.1 [INFO] [stderr] Compiling dyn-stack v0.8.3 [INFO] [stderr] Compiling tfhe v0.1.8 [INFO] [stderr] Compiling num_cpus v1.15.0 [INFO] [stderr] Compiling itertools v0.10.5 [INFO] [stderr] Compiling once_cell v1.17.0 [INFO] [stderr] Compiling crypto-common v0.1.6 [INFO] [stderr] Compiling inout v0.1.3 [INFO] [stderr] Compiling rayon v1.6.1 [INFO] [stderr] Compiling cipher v0.4.3 [INFO] [stderr] Compiling aes v0.8.2 [INFO] [stderr] Compiling aligned-vec v0.5.0 [INFO] [stderr] Compiling num-complex v0.4.3 [INFO] [stderr] Compiling bincode v1.3.3 [INFO] [stderr] Compiling concrete-fft v0.1.0 [INFO] [stderr] Compiling Cryptonic v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `crate::tensor_library::layout::Layout::RowMajor` [INFO] [stdout] --> src/neural_network/nnet.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | use crate::tensor_library::layout::Layout::RowMajor; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `multiply_1d`, `multiply_2d`, `multiply_scalar` [INFO] [stdout] --> src/neural_network/nnet.rs:10:57 [INFO] [stdout] | [INFO] [stdout] 10 | use crate::tensor_library::matrix::{Matrix, MatrixIter, multiply_1d, multiply_2d, multiply_scalar, multiply_scalar_generic}; [INFO] [stdout] | ^^^^^^^^^^^ ^^^^^^^^^^^ ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around type [INFO] [stdout] --> src/neural_network/nnet.rs:88:59 [INFO] [stdout] | [INFO] [stdout] 88 | pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_parens)]` on by default [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 88 - pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stdout] 88 + pub fn forward(&mut self, input: Matrix) -> Result, &str>{ [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around function argument [INFO] [stdout] --> src/neural_network/nnet.rs:147:12 [INFO] [stdout] | [INFO] [stdout] 147 | Ok((current_input)) [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 147 - Ok((current_input)) [INFO] [stdout] 147 + Ok(current_input) [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::neural_network::test_layer::TestLayer` [INFO] [stdout] --> src/neural_network/layer_type.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use crate::neural_network::test_layer::TestLayer; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `parameters_set` [INFO] [stdout] --> src/cryptography/key_gen.rs:57:24 [INFO] [stdout] | [INFO] [stdout] 57 | pub fn custom_gen_keys(parameters_set: &Parameters) -> (ClientKey, ServerKey) { [INFO] [stdout] | ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_parameters_set` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `weights` [INFO] [stdout] --> src/neural_network/nnet.rs:93:27 [INFO] [stdout] | [INFO] [stdout] 93 | let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap(); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `biases` [INFO] [stdout] --> src/neural_network/nnet.rs:93:36 [INFO] [stdout] | [INFO] [stdout] 93 | let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap(); [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_biases` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `idx` [INFO] [stdout] --> src/neural_network/nnet.rs:133:26 [INFO] [stdout] | [INFO] [stdout] 133 | for (el, idx) in iterator { [INFO] [stdout] | ^^^ help: if this is intentional, prefix it with an underscore: `_idx` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `a` [INFO] [stdout] --> src/neural_network/nnet.rs:107:24 [INFO] [stdout] | [INFO] [stdout] 107 | .map(|(a, b)| b.unwrap()).collect(); [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_a` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/neural_network/nnet.rs:124:21 [INFO] [stdout] | [INFO] [stdout] 124 | let mut current_output_el = multiply_scalar_generic(weights_matrix.clone(), el.clone()); [INFO] [stdout] | ----^^^^^^^^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_mut)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `input` [INFO] [stdout] --> src/neural_network/test_layer.rs:16:27 [INFO] [stdout] | [INFO] [stdout] 16 | fn forward(&mut self, input : Matrix) -> Matrix where ::CType: Clone + Default { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_input` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/tensor_library/matrix.rs:781:35 [INFO] [stdout] | [INFO] [stdout] 781 | pub fn multiply_scalar_generic(mut lhs: Matrix, rhs: T) -> Matrix where T: Clone + Default + Mul, i32: Mul{ [INFO] [stdout] | ----^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `get_last_layer_id` is never used [INFO] [stdout] --> src/neural_network/nnet.rs:175:8 [INFO] [stdout] | [INFO] [stdout] 21 | impl Nnet where T : Clone + Default + Debug + AddAssign + MulAssign + Add + Mul + Mul, i32: ... [INFO] [stdout] | --------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 175 | fn get_last_layer_id(&self) -> &Option { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 14 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished dev [unoptimized + debuginfo] target(s) in 25.67s [INFO] running `Command { std: "docker" "inspect" "875f31c70a86a6d6929fa310067791fef5742edc33d405ef1dd6cf689e02c9ac", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "875f31c70a86a6d6929fa310067791fef5742edc33d405ef1dd6cf689e02c9ac", kill_on_drop: false }` [INFO] [stdout] 875f31c70a86a6d6929fa310067791fef5742edc33d405ef1dd6cf689e02c9ac [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:4f8da3c744d2da974e54ce020a79f4ad54313e914ebeaab8fc086f07e8d8b066" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2023-10-04" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 91b084d2c52c5ea9200374de1ac2871dad58e0a88ca0cc22f146f35004ab17b9 [INFO] running `Command { std: "docker" "start" "-a" "91b084d2c52c5ea9200374de1ac2871dad58e0a88ca0cc22f146f35004ab17b9", kill_on_drop: false }` [INFO] [stdout] warning: unused import: `crate::tensor_library::layout::Layout::RowMajor` [INFO] [stdout] --> src/neural_network/nnet.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | use crate::tensor_library::layout::Layout::RowMajor; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `multiply_1d`, `multiply_2d`, `multiply_scalar` [INFO] [stdout] --> src/neural_network/nnet.rs:10:57 [INFO] [stdout] | [INFO] [stdout] 10 | use crate::tensor_library::matrix::{Matrix, MatrixIter, multiply_1d, multiply_2d, multiply_scalar, multiply_scalar_generic}; [INFO] [stdout] | ^^^^^^^^^^^ ^^^^^^^^^^^ ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around type [INFO] [stdout] --> src/neural_network/nnet.rs:88:59 [INFO] [stdout] | [INFO] [stdout] 88 | pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_parens)]` on by default [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 88 - pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stdout] 88 + pub fn forward(&mut self, input: Matrix) -> Result, &str>{ [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around function argument [INFO] [stdout] --> src/neural_network/nnet.rs:147:12 [INFO] [stdout] | [INFO] [stdout] 147 | Ok((current_input)) [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 147 - Ok((current_input)) [INFO] [stdout] 147 + Ok(current_input) [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::neural_network::test_layer::TestLayer` [INFO] [stdout] --> src/neural_network/layer_type.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use crate::neural_network::test_layer::TestLayer; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `parameters_set` [INFO] [stdout] --> src/cryptography/key_gen.rs:57:24 [INFO] [stdout] | [INFO] [stdout] 57 | pub fn custom_gen_keys(parameters_set: &Parameters) -> (ClientKey, ServerKey) { [INFO] [stdout] | ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_parameters_set` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `weights` [INFO] [stdout] --> src/neural_network/nnet.rs:93:27 [INFO] [stdout] | [INFO] [stdout] 93 | let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap(); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `biases` [INFO] [stdout] --> src/neural_network/nnet.rs:93:36 [INFO] [stdout] | [INFO] [stdout] 93 | let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap(); [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_biases` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `idx` [INFO] [stdout] --> src/neural_network/nnet.rs:133:26 [INFO] [stdout] | [INFO] [stdout] 133 | for (el, idx) in iterator { [INFO] [stdout] | ^^^ help: if this is intentional, prefix it with an underscore: `_idx` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `a` [INFO] [stdout] --> src/neural_network/nnet.rs:107:24 [INFO] [stdout] | [INFO] [stdout] 107 | .map(|(a, b)| b.unwrap()).collect(); [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_a` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/neural_network/nnet.rs:124:21 [INFO] [stdout] | [INFO] [stdout] 124 | let mut current_output_el = multiply_scalar_generic(weights_matrix.clone(), el.clone()); [INFO] [stdout] | ----^^^^^^^^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_mut)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `input` [INFO] [stdout] --> src/neural_network/test_layer.rs:16:27 [INFO] [stdout] | [INFO] [stdout] 16 | fn forward(&mut self, input : Matrix) -> Matrix where ::CType: Clone + Default { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_input` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/tensor_library/matrix.rs:781:35 [INFO] [stdout] | [INFO] [stdout] 781 | pub fn multiply_scalar_generic(mut lhs: Matrix, rhs: T) -> Matrix where T: Clone + Default + Mul, i32: Mul{ [INFO] [stdout] | ----^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Compiling Cryptonic v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: method `get_last_layer_id` is never used [INFO] [stdout] --> src/neural_network/nnet.rs:175:8 [INFO] [stdout] | [INFO] [stdout] 21 | impl Nnet where T : Clone + Default + Debug + AddAssign + MulAssign + Add + Mul + Mul, i32: ... [INFO] [stdout] | --------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 175 | fn get_last_layer_id(&self) -> &Option { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 14 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::tensor_library::layout::Layout::RowMajor` [INFO] [stdout] --> src/neural_network/nnet.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 9 | use crate::tensor_library::layout::Layout::RowMajor; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `multiply_1d`, `multiply_2d`, `multiply_scalar` [INFO] [stdout] --> src/neural_network/nnet.rs:10:57 [INFO] [stdout] | [INFO] [stdout] 10 | use crate::tensor_library::matrix::{Matrix, MatrixIter, multiply_1d, multiply_2d, multiply_scalar, multiply_scalar_generic}; [INFO] [stdout] | ^^^^^^^^^^^ ^^^^^^^^^^^ ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around type [INFO] [stdout] --> src/neural_network/nnet.rs:88:59 [INFO] [stdout] | [INFO] [stdout] 88 | pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_parens)]` on by default [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 88 - pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stdout] 88 + pub fn forward(&mut self, input: Matrix) -> Result, &str>{ [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unnecessary parentheses around function argument [INFO] [stdout] --> src/neural_network/nnet.rs:147:12 [INFO] [stdout] | [INFO] [stdout] 147 | Ok((current_input)) [INFO] [stdout] | ^ ^ [INFO] [stdout] | [INFO] [stdout] help: remove these parentheses [INFO] [stdout] | [INFO] [stdout] 147 - Ok((current_input)) [INFO] [stdout] 147 + Ok(current_input) [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::neural_network::test_layer::TestLayer` [INFO] [stdout] --> src/neural_network/layer_type.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use crate::neural_network::test_layer::TestLayer; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `parameters_set` [INFO] [stdout] --> src/cryptography/key_gen.rs:57:24 [INFO] [stdout] | [INFO] [stdout] 57 | pub fn custom_gen_keys(parameters_set: &Parameters) -> (ClientKey, ServerKey) { [INFO] [stdout] | ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_parameters_set` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `weights` [INFO] [stdout] --> src/neural_network/nnet.rs:93:27 [INFO] [stdout] | [INFO] [stdout] 93 | let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap(); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `biases` [INFO] [stdout] --> src/neural_network/nnet.rs:93:36 [INFO] [stdout] | [INFO] [stdout] 93 | let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap(); [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_biases` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `idx` [INFO] [stdout] --> src/neural_network/nnet.rs:133:26 [INFO] [stdout] | [INFO] [stdout] 133 | for (el, idx) in iterator { [INFO] [stdout] | ^^^ help: if this is intentional, prefix it with an underscore: `_idx` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `a` [INFO] [stdout] --> src/neural_network/nnet.rs:107:24 [INFO] [stdout] | [INFO] [stdout] 107 | .map(|(a, b)| b.unwrap()).collect(); [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_a` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/neural_network/nnet.rs:124:21 [INFO] [stdout] | [INFO] [stdout] 124 | let mut current_output_el = multiply_scalar_generic(weights_matrix.clone(), el.clone()); [INFO] [stdout] | ----^^^^^^^^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_mut)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `input` [INFO] [stdout] --> src/neural_network/test_layer.rs:16:27 [INFO] [stdout] | [INFO] [stdout] 16 | fn forward(&mut self, input : Matrix) -> Matrix where ::CType: Clone + Default { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_input` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/tensor_library/matrix.rs:781:35 [INFO] [stdout] | [INFO] [stdout] 781 | pub fn multiply_scalar_generic(mut lhs: Matrix, rhs: T) -> Matrix where T: Clone + Default + Mul, i32: Mul{ [INFO] [stdout] | ----^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `get_last_layer_id` is never used [INFO] [stdout] --> src/neural_network/nnet.rs:175:8 [INFO] [stdout] | [INFO] [stdout] 21 | impl Nnet where T : Clone + Default + Debug + AddAssign + MulAssign + Add + Mul + Mul, i32: ... [INFO] [stdout] | --------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 175 | fn get_last_layer_id(&self) -> &Option { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 14 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished test [unoptimized + debuginfo] target(s) in 1.59s [INFO] running `Command { std: "docker" "inspect" "91b084d2c52c5ea9200374de1ac2871dad58e0a88ca0cc22f146f35004ab17b9", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "91b084d2c52c5ea9200374de1ac2871dad58e0a88ca0cc22f146f35004ab17b9", kill_on_drop: false }` [INFO] [stdout] 91b084d2c52c5ea9200374de1ac2871dad58e0a88ca0cc22f146f35004ab17b9 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=warn" "-e" "RUSTDOCFLAGS=--cap-lints=warn" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:4f8da3c744d2da974e54ce020a79f4ad54313e914ebeaab8fc086f07e8d8b066" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2023-10-04" "test" "--frozen", kill_on_drop: false }` [INFO] [stdout] 2ddcbe884920159f94340f69bb3daec765e7b834eb40be5bd056e9062a6d6dfa [INFO] running `Command { std: "docker" "start" "-a" "2ddcbe884920159f94340f69bb3daec765e7b834eb40be5bd056e9062a6d6dfa", kill_on_drop: false }` [INFO] [stderr] warning: unused import: `crate::tensor_library::layout::Layout::RowMajor` [INFO] [stderr] --> src/neural_network/nnet.rs:9:5 [INFO] [stderr] | [INFO] [stderr] 9 | use crate::tensor_library::layout::Layout::RowMajor; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused imports: `multiply_1d`, `multiply_2d`, `multiply_scalar` [INFO] [stderr] --> src/neural_network/nnet.rs:10:57 [INFO] [stderr] | [INFO] [stderr] 10 | use crate::tensor_library::matrix::{Matrix, MatrixIter, multiply_1d, multiply_2d, multiply_scalar, multiply_scalar_generic}; [INFO] [stderr] | ^^^^^^^^^^^ ^^^^^^^^^^^ ^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unnecessary parentheses around type [INFO] [stderr] --> src/neural_network/nnet.rs:88:59 [INFO] [stderr] | [INFO] [stderr] 88 | pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stderr] | ^ ^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_parens)]` on by default [INFO] [stderr] help: remove these parentheses [INFO] [stderr] | [INFO] [stderr] 88 - pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stderr] 88 + pub fn forward(&mut self, input: Matrix) -> Result, &str>{ [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: unnecessary parentheses around function argument [INFO] [stderr] --> src/neural_network/nnet.rs:147:12 [INFO] [stderr] | [INFO] [stderr] 147 | Ok((current_input)) [INFO] [stderr] | ^ ^ [INFO] [stderr] | [INFO] [stderr] help: remove these parentheses [INFO] [stderr] | [INFO] [stderr] 147 - Ok((current_input)) [INFO] [stderr] 147 + Ok(current_input) [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: unused import: `crate::neural_network::test_layer::TestLayer` [INFO] [stderr] --> src/neural_network/layer_type.rs:3:5 [INFO] [stderr] | [INFO] [stderr] 3 | use crate::neural_network::test_layer::TestLayer; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused variable: `parameters_set` [INFO] [stderr] --> src/cryptography/key_gen.rs:57:24 [INFO] [stderr] | [INFO] [stderr] 57 | pub fn custom_gen_keys(parameters_set: &Parameters) -> (ClientKey, ServerKey) { [INFO] [stderr] | ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_parameters_set` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused variable: `weights` [INFO] [stderr] --> src/neural_network/nnet.rs:93:27 [INFO] [stderr] | [INFO] [stderr] 93 | let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap(); [INFO] [stderr] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weights` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `biases` [INFO] [stderr] --> src/neural_network/nnet.rs:93:36 [INFO] [stderr] | [INFO] [stderr] 93 | let (first_layer, weights, biases) = self.layers.get(&first_layer_id).unwrap(); [INFO] [stderr] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_biases` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `idx` [INFO] [stderr] --> src/neural_network/nnet.rs:133:26 [INFO] [stderr] | [INFO] [stderr] 133 | for (el, idx) in iterator { [INFO] [stderr] | ^^^ help: if this is intentional, prefix it with an underscore: `_idx` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `a` [INFO] [stderr] --> src/neural_network/nnet.rs:107:24 [INFO] [stderr] | [INFO] [stderr] 107 | .map(|(a, b)| b.unwrap()).collect(); [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_a` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/neural_network/nnet.rs:124:21 [INFO] [stderr] | [INFO] [stderr] 124 | let mut current_output_el = multiply_scalar_generic(weights_matrix.clone(), el.clone()); [INFO] [stderr] | ----^^^^^^^^^^^^^^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_mut)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused variable: `input` [INFO] [stderr] --> src/neural_network/test_layer.rs:16:27 [INFO] [stderr] | [INFO] [stderr] 16 | fn forward(&mut self, input : Matrix) -> Matrix where ::CType: Clone + Default { [INFO] [stderr] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_input` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/tensor_library/matrix.rs:781:35 [INFO] [stderr] | [INFO] [stderr] 781 | pub fn multiply_scalar_generic(mut lhs: Matrix, rhs: T) -> Matrix where T: Clone + Default + Mul, i32: Mul{ [INFO] [stderr] | ----^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: method `get_last_layer_id` is never used [INFO] [stderr] --> src/neural_network/nnet.rs:175:8 [INFO] [stderr] | [INFO] [stderr] 21 | impl Nnet where T : Clone + Default + Debug + AddAssign + MulAssign + Add + Mul + Mul, i32: ... [INFO] [stderr] | --------------- method in this implementation [INFO] [stderr] ... [INFO] [stderr] 175 | fn get_last_layer_id(&self) -> &Option { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(dead_code)]` on by default [INFO] [stderr] [INFO] [stderr] warning: `Cryptonic` (lib) generated 14 warnings (run `cargo fix --lib -p Cryptonic` to apply 13 suggestions) [INFO] [stderr] warning: `Cryptonic` (lib test) generated 14 warnings (14 duplicates) [INFO] [stderr] Finished test [unoptimized + debuginfo] target(s) in 0.09s [INFO] [stderr] Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/Cryptonic-8c27ae42c7de059f) [INFO] [stdout] [INFO] [stdout] running 0 tests [INFO] [stdout] [INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s [INFO] [stdout] [INFO] [stderr] Running unittests src/main.rs (/opt/rustwide/target/debug/deps/Cryptonic-5a769c3575ea018d) [INFO] [stdout] [INFO] [stdout] running 0 tests [INFO] [stdout] [INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s [INFO] [stdout] [INFO] [stderr] Running tests/tests.rs (/opt/rustwide/target/debug/deps/tests-04e4cc9afe1f3b25) [INFO] [stdout] [INFO] [stdout] running 26 tests [INFO] [stdout] test test_matrix_functionality::test_apply ... ok [INFO] [stdout] test test_matrix_functionality::test_apply_mut ... ok [INFO] [stdout] test test_matrix_functionality::test_calc_next_idx ... ok [INFO] [stdout] test test_matrix_functionality::test_col_major_gen ... ok [INFO] [stdout] test test_matrix_functionality::test_add ... ok [INFO] [stdout] test test_matrix_functionality::test_broadcasting ... ok [INFO] [stdout] test test_matrix_functionality::test_check_concat_dims ... ok [INFO] [stdout] test test_matrix_functionality::test_concat ... ok [INFO] [stdout] test test_matrix_functionality::test_get_mut ... ok [INFO] [stdout] test test_matrix_functionality::test_flatten ... ok [INFO] [stdout] test test_matrix_functionality::test_get_physical_idx ... ok [INFO] [stdout] test test_matrix_functionality::test_get ... ok [INFO] [stdout] test test_matrix_functionality::test_if_add_throws_error_when_bounds_are_incompatible ... ok [INFO] [stdout] test test_matrix_functionality::test_iter ... ok [INFO] [stdout] test test_matrix_functionality::test_row_major_gen ... ok [INFO] [stdout] test test_matrix_functionality::test_bound_check ... ok [INFO] [stdout] test test_matrix_functionality::test_set ... ok [INFO] [stdout] test test_matrix_functionality::test_if_subtract_throws_error_when_bounds_are_incompatible ... ok [INFO] [stdout] test test_matrix_functionality::test_reshape ... ok [INFO] [stdout] test test_matrix_functionality::test_shape ... ok [INFO] [stdout] test test_matrix_functionality::test_size_calc ... ok [INFO] [stdout] test test_matrix_functionality::test_if_concat_throws_error_when_dimensions_are_incompatible ... ok [INFO] [stdout] test test_matrix_functionality::test_mul_2d ... ok [INFO] [stdout] test test_matrix_functionality::test_strides ... ok [INFO] [stdout] test test_matrix_functionality::test_transpose ... ok [INFO] [stdout] test test_matrix_functionality::test_subtract ... ok [INFO] [stdout] [INFO] [stdout] test result: ok. 26 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.06s [INFO] [stdout] [INFO] [stderr] Doc-tests Cryptonic [INFO] [stderr] warning: unnecessary parentheses around type [INFO] [stderr] --> src/neural_network/nnet.rs:88:59 [INFO] [stderr] | [INFO] [stderr] 88 | pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stderr] | ^ ^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_parens)]` on by default [INFO] [stderr] help: remove these parentheses [INFO] [stderr] | [INFO] [stderr] 88 - pub fn forward(&mut self, input: Matrix) -> Result<(Matrix), &str>{ [INFO] [stderr] 88 + pub fn forward(&mut self, input: Matrix) -> Result, &str>{ [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: unnecessary parentheses around function argument [INFO] [stderr] --> src/neural_network/nnet.rs:147:12 [INFO] [stderr] | [INFO] [stderr] 147 | Ok((current_input)) [INFO] [stderr] | ^ ^ [INFO] [stderr] | [INFO] [stderr] help: remove these parentheses [INFO] [stderr] | [INFO] [stderr] 147 - Ok((current_input)) [INFO] [stderr] 147 + Ok(current_input) [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: 2 warnings emitted [INFO] [stderr] [INFO] [stdout] [INFO] [stdout] running 32 tests [INFO] [stdout] test src/neural_network/nnet.rs - neural_network::nnet::Nnet::add_layer (line 32) ... FAILED [INFO] [stdout] test src/neural_network/nnet.rs - neural_network::nnet::Nnet::add_node (line 51) ... FAILED [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::AddRetType (line 670) ... ok [INFO] [stdout] test src/cryptography/key_gen.rs - cryptography::key_gen::get_modulus (line 65) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::from_iter (line 48) ... FAILED [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::apply (line 357) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::BroadcastRetType (line 448) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::ConcatRetType (line 520) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::apply_mut (line 377) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::check_bounds (line 214) ... ok [INFO] [stdout] test src/cryptography/key_gen.rs - cryptography::key_gen::custom_gen_keys (line 30) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::flatten (line 422) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::reshape (line 131) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::get_physical_idx (line 237) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::get (line 264) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::new (line 29) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::set_shape (line 192) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::set (line 308) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::set_strides (line 176) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::shape (line 118) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::strides (line 161) ... ok [INFO] [stdout] test src/tensor_library/utils.rs - tensor_library::utils::calc_concat_shape (line 81) ... FAILED [INFO] [stdout] test src/tensor_library/utils.rs - tensor_library::utils::calc_size_from_shape (line 37) ... FAILED [INFO] [stdout] test src/tensor_library/utils.rs - tensor_library::utils::calc_strides_from_shape (line 7) ... FAILED [INFO] [stdout] test src/tensor_library/utils.rs - tensor_library::utils::check_concat_dims (line 51) ... FAILED [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::size (line 105) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::transpose (line 399) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::SubRetType (line 595) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::MulRetType1D (line 961) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::strides (line 155) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::MulRetType2D (line 888) ... ok [INFO] [stdout] test src/tensor_library/matrix.rs - tensor_library::matrix::multiply_scalar (line 748) ... ok [INFO] [stdout] [INFO] [stdout] failures: [INFO] [stdout] [INFO] [stdout] ---- src/neural_network/nnet.rs - neural_network::nnet::Nnet::add_layer (line 32) stdout ---- [INFO] [stdout] error[E0432]: unresolved import `Cryptonic::layers` [INFO] [stdout] --> src/neural_network/nnet.rs:34:16 [INFO] [stdout] | [INFO] [stdout] 5 | use Cryptonic::layers::dense_layer; [INFO] [stdout] | ^^^^^^ could not find `layers` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error: aborting due to previous error [INFO] [stdout] [INFO] [stdout] For more information about this error, try `rustc --explain E0432`. [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/neural_network/nnet.rs - neural_network::nnet::Nnet::add_node (line 51) stdout ---- [INFO] [stdout] error[E0432]: unresolved import `Cryptonic::layers` [INFO] [stdout] --> src/neural_network/nnet.rs:53:16 [INFO] [stdout] | [INFO] [stdout] 5 | use Cryptonic::layers::dense_layer; [INFO] [stdout] | ^^^^^^ could not find `layers` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error[E0432]: unresolved import `Cryptonic::nnet` [INFO] [stdout] --> src/neural_network/nnet.rs:55:17 [INFO] [stdout] | [INFO] [stdout] 7 | use Cryptonic::nnet::Nnet; [INFO] [stdout] | ^^^^ could not find `nnet` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error: aborting due to 2 previous errors [INFO] [stdout] [INFO] [stdout] For more information about this error, try `rustc --explain E0432`. [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::from_iter (line 48) stdout ---- [INFO] [stdout] error[E0432]: unresolved imports `Cryptonic::matrix`, `Cryptonic::layout` [INFO] [stdout] --> src/tensor_library/matrix.rs:50:17 [INFO] [stdout] | [INFO] [stdout] 5 | use Cryptonic::{matrix::Matrix, layout::Layout}; [INFO] [stdout] | ^^^^^^ ^^^^^^ could not find `layout` in `Cryptonic` [INFO] [stdout] | | [INFO] [stdout] | could not find `matrix` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error: aborting due to previous error [INFO] [stdout] [INFO] [stdout] For more information about this error, try `rustc --explain E0432`. [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/tensor_library/utils.rs - tensor_library::utils::calc_concat_shape (line 81) stdout ---- [INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils` [INFO] [stdout] --> src/tensor_library/utils.rs:83:16 [INFO] [stdout] | [INFO] [stdout] 5 | use Cryptonic::utils::calc_size_from_shape; [INFO] [stdout] | ^^^^^ could not find `utils` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils` [INFO] [stdout] --> src/tensor_library/utils.rs:84:16 [INFO] [stdout] | [INFO] [stdout] 6 | use Cryptonic::utils::calc_concat_shape; [INFO] [stdout] | ^^^^^ could not find `utils` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error: aborting due to 2 previous errors [INFO] [stdout] [INFO] [stdout] For more information about this error, try `rustc --explain E0432`. [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/tensor_library/utils.rs - tensor_library::utils::calc_size_from_shape (line 37) stdout ---- [INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils` [INFO] [stdout] --> src/tensor_library/utils.rs:39:16 [INFO] [stdout] | [INFO] [stdout] 5 | use Cryptonic::utils::calc_size_from_shape; [INFO] [stdout] | ^^^^^ could not find `utils` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error: aborting due to previous error [INFO] [stdout] [INFO] [stdout] For more information about this error, try `rustc --explain E0432`. [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/tensor_library/utils.rs - tensor_library::utils::calc_strides_from_shape (line 7) stdout ---- [INFO] [stdout] error[E0432]: unresolved imports `Cryptonic::matrix`, `Cryptonic::layout` [INFO] [stdout] --> src/tensor_library/utils.rs:9:17 [INFO] [stdout] | [INFO] [stdout] 5 | use Cryptonic::{matrix::Matrix, layout::Layout}; [INFO] [stdout] | ^^^^^^ ^^^^^^ could not find `layout` in `Cryptonic` [INFO] [stdout] | | [INFO] [stdout] | could not find `matrix` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils` [INFO] [stdout] --> src/tensor_library/utils.rs:10:16 [INFO] [stdout] | [INFO] [stdout] 6 | use Cryptonic::utils::calc_strides_from_shape; [INFO] [stdout] | ^^^^^ could not find `utils` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error: aborting due to 2 previous errors [INFO] [stdout] [INFO] [stdout] For more information about this error, try `rustc --explain E0432`. [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] ---- src/tensor_library/utils.rs - tensor_library::utils::check_concat_dims (line 51) stdout ---- [INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils` [INFO] [stdout] --> src/tensor_library/utils.rs:53:16 [INFO] [stdout] | [INFO] [stdout] 5 | use Cryptonic::utils::calc_size_from_shape; [INFO] [stdout] | ^^^^^ could not find `utils` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error[E0432]: unresolved import `Cryptonic::utils` [INFO] [stdout] --> src/tensor_library/utils.rs:54:16 [INFO] [stdout] | [INFO] [stdout] 6 | use Cryptonic::utils::check_concat_dims; [INFO] [stdout] | ^^^^^ could not find `utils` in `Cryptonic` [INFO] [stdout] [INFO] [stdout] error: aborting due to 2 previous errors [INFO] [stdout] [INFO] [stdout] For more information about this error, try `rustc --explain E0432`. [INFO] [stdout] Couldn't compile the test. [INFO] [stdout] [INFO] [stdout] failures: [INFO] [stdout] src/neural_network/nnet.rs - neural_network::nnet::Nnet::add_layer (line 32) [INFO] [stdout] src/neural_network/nnet.rs - neural_network::nnet::Nnet::add_node (line 51) [INFO] [stdout] src/tensor_library/matrix.rs - tensor_library::matrix::Matrix::from_iter (line 48) [INFO] [stdout] src/tensor_library/utils.rs - tensor_library::utils::calc_concat_shape (line 81) [INFO] [stdout] src/tensor_library/utils.rs - tensor_library::utils::calc_size_from_shape (line 37) [INFO] [stdout] src/tensor_library/utils.rs - tensor_library::utils::calc_strides_from_shape (line 7) [INFO] [stdout] src/tensor_library/utils.rs - tensor_library::utils::check_concat_dims (line 51) [INFO] [stdout] [INFO] [stdout] test result: FAILED. 25 passed; 7 failed; 0 ignored; 0 measured; 0 filtered out; finished in 23.20s [INFO] [stdout] [INFO] [stderr] error: doctest failed, to rerun pass `--doc` [INFO] running `Command { std: "docker" "inspect" "2ddcbe884920159f94340f69bb3daec765e7b834eb40be5bd056e9062a6d6dfa", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "2ddcbe884920159f94340f69bb3daec765e7b834eb40be5bd056e9062a6d6dfa", kill_on_drop: false }` [INFO] [stdout] 2ddcbe884920159f94340f69bb3daec765e7b834eb40be5bd056e9062a6d6dfa