[INFO] cloning repository https://github.com/PP6464/tensor_math
[INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/PP6464/tensor_math" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FPP6464%2Ftensor_math", kill_on_drop: false }`
[INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FPP6464%2Ftensor_math'...
[INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }`
[INFO] [stdout] 0a2289abcebccd7fe87511f24c039ad63eee7e7f
[INFO] checking PP6464/tensor_math against try#48c9d93cf65d550d124c40108859fd993778c157 for pr-153692-1
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FPP6464%2Ftensor_math" "/workspace/builds/worker-0-tc2/source", kill_on_drop: false }`
[INFO] [stderr] Cloning into '/workspace/builds/worker-0-tc2/source'...
[INFO] [stderr] done.
[INFO] started tweaking git repo https://github.com/PP6464/tensor_math
[INFO] finished tweaking git repo https://github.com/PP6464/tensor_math
[INFO] tweaked toml for git repo https://github.com/PP6464/tensor_math written to /workspace/builds/worker-0-tc2/source/Cargo.toml
[INFO] validating manifest of git repo https://github.com/PP6464/tensor_math on toolchain 48c9d93cf65d550d124c40108859fd993778c157
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[INFO] crate git repo https://github.com/PP6464/tensor_math 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" "+48c9d93cf65d550d124c40108859fd993778c157" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
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[INFO] [stderr]    Compiling proc-macro2 v1.0.101
[INFO] [stderr]     Checking cfg-if v1.0.3
[INFO] [stderr]    Compiling serde_core v1.0.223
[INFO] [stderr]    Compiling libc v0.2.175
[INFO] [stderr]    Compiling serde v1.0.223
[INFO] [stderr]    Compiling rayon-core v1.13.0
[INFO] [stderr]    Compiling serde_json v1.0.145
[INFO] [stderr]     Checking regex-syntax v0.8.6
[INFO] [stderr]     Checking clap_lex v0.7.5
[INFO] [stderr]     Checking anstyle v1.0.11
[INFO] [stderr]     Checking memchr v2.7.5
[INFO] [stderr]     Checking plotters-backend v0.3.7
[INFO] [stderr]     Checking ciborium-io v0.2.2
[INFO] [stderr]     Checking num-bigint v0.4.6
[INFO] [stderr]     Checking itertools v0.13.0
[INFO] [stderr]    Compiling thiserror v2.0.16
[INFO] [stderr]     Checking half v2.6.0
[INFO] [stderr]     Checking cast v0.3.0
[INFO] [stderr]     Checking num-iter v0.1.45
[INFO] [stderr]     Checking num-complex v0.4.6
[INFO] [stderr]     Checking oorandom v11.1.5
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[INFO] [stderr]     Checking rayon v1.11.0
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[INFO] [stderr]     Checking getrandom v0.3.3
[INFO] [stderr]    Compiling syn v2.0.106
[INFO] [stderr]     Checking rand_core v0.9.3
[INFO] [stderr]     Checking num-rational v0.4.2
[INFO] [stderr]     Checking rand_chacha v0.9.0
[INFO] [stderr]     Checking num v0.4.3
[INFO] [stderr]     Checking criterion-plot v0.6.0
[INFO] [stderr]     Checking rand v0.9.2
[INFO] [stderr]     Checking regex v1.11.2
[INFO] [stderr]     Checking clap v4.5.47
[INFO] [stderr]    Compiling serde_derive v1.0.223
[INFO] [stderr]    Compiling thiserror-impl v2.0.16
[INFO] [stderr]     Checking ciborium v0.2.2
[INFO] [stderr]     Checking tinytemplate v1.2.1
[INFO] [stderr]     Checking criterion v0.7.0
[INFO] [stderr]     Checking tensor_math v0.1.0 (/opt/rustwide/workdir)
[INFO] [stdout] warning: function `assert_panics` is never used
[INFO] [stdout]  --> src/tests/test_helpers.rs:3:15
[INFO] [stdout]   |
[INFO] [stdout] 3 | pub(crate) fn assert_panics(closure: impl FnOnce() + UnwindSafe) {
[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 `det_slow` is never used
[INFO] [stdout]    --> src/math/det_inv.rs:106:8
[INFO] [stdout]     |
[INFO] [stdout] 106 | pub fn det_slow<T: Add<Output = T> + Mul<Output = T> + Sub<Output = T> + Clone + Zero + One>(
[INFO] [stdout]     |        ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `inv_slow` is never used
[INFO] [stdout]    --> src/math/det_inv.rs:170:8
[INFO] [stdout]     |
[INFO] [stdout] 170 | pub fn inv_slow<T>(m: &Matrix<T>) -> Result<Matrix<T>, TensorErrors>
[INFO] [stdout]     |        ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `solve_cubic` is never used
[INFO] [stdout]   --> src/math/polynomials.rs:27:8
[INFO] [stdout]    |
[INFO] [stdout] 27 | pub fn solve_cubic(coefficients: &[Complex64; 4]) -> Result<Vec<Complex64>, TensorErrors> {
[INFO] [stdout]    |        ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `solve_quartic` is never used
[INFO] [stdout]   --> src/math/polynomials.rs:60:8
[INFO] [stdout]    |
[INFO] [stdout] 60 | pub fn solve_quartic(coefficients: &[Complex64; 5]) -> Result<Vec<Complex64>, TensorErrors> {
[INFO] [stdout]    |        ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `gaussian_pdf_single_sigma` is never used
[INFO] [stdout]   --> src/math/gaussian.rs:18:8
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn gaussian_pdf_single_sigma(sigma: f64, shape: &Shape) -> Result<Tensor<f64>, TensorErrors> {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `gaussian_pdf_multi_sigma` is never used
[INFO] [stdout]   --> src/math/gaussian.rs:56:8
[INFO] [stdout]    |
[INFO] [stdout] 56 | pub fn gaussian_pdf_multi_sigma(sigma: Vec<f64>, shape: &Shape) -> Result<Tensor<f64>, TensorErrors> {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `gaussian_sample` is never used
[INFO] [stdout]    --> src/math/gaussian.rs:100:8
[INFO] [stdout]     |
[INFO] [stdout] 100 | pub fn gaussian_sample(sigma: f64, shape: &Shape, min: f64, max: f64) -> Result<Tensor<f64>, TensorErrors> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `gaussian_pdf_cov_mat` is never used
[INFO] [stdout]    --> src/math/gaussian.rs:141:8
[INFO] [stdout]     |
[INFO] [stdout] 141 | pub fn gaussian_pdf_cov_mat(sigma: Matrix<f64>, shape: &Shape) -> Result<Tensor<f64>, TensorErrors> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:104:13
[INFO] [stdout]     |
[INFO] [stdout] 104 | /             t1.pool_mt(
[INFO] [stdout] 105 | |                 black_box(&pool_avg),
[INFO] [stdout] 106 | |                 black_box(&shape![11, 13, 17]),
[INFO] [stdout] 107 | |                 black_box(&shape![5, 7, 3]),
[INFO] [stdout] 108 | |                 black_box(0.0),
[INFO] [stdout] 109 | |             );
[INFO] [stdout]     | |_____________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 104 |             let _ = t1.pool_mt(
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:135:13
[INFO] [stdout]     |
[INFO] [stdout] 135 |             m1.det();
[INFO] [stdout]     |             ^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 135 |             let _ = m1.det();
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_concat_mt` is never used
[INFO] [stdout]   --> benches/tensor_benches.rs:12:8
[INFO] [stdout]    |
[INFO] [stdout] 12 | pub fn bench_concat_mt(c: &mut Criterion) {
[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 `bench_concat_mat_mt` is never used
[INFO] [stdout]   --> benches/tensor_benches.rs:23:8
[INFO] [stdout]    |
[INFO] [stdout] 23 | pub fn bench_concat_mat_mt(c: &mut Criterion) {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_transpose_mt` is never used
[INFO] [stdout]   --> benches/tensor_benches.rs:34:8
[INFO] [stdout]    |
[INFO] [stdout] 34 | pub fn bench_transpose_mt(c: &mut Criterion) {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:161:13
[INFO] [stdout]     |
[INFO] [stdout] 161 |             m.eigendecompose();
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 161 |             let _ = m.eigendecompose();
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_transpose_mat_mt` is never used
[INFO] [stdout]   --> benches/tensor_benches.rs:45:8
[INFO] [stdout]    |
[INFO] [stdout] 45 | pub fn bench_transpose_mat_mt(c: &mut Criterion) {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_contract_mul_mt` is never used
[INFO] [stdout]   --> benches/tensor_benches.rs:55:8
[INFO] [stdout]    |
[INFO] [stdout] 55 | pub fn bench_contract_mul_mt(c: &mut Criterion) {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:175:13
[INFO] [stdout]     |
[INFO] [stdout] 175 |             t.fft();
[INFO] [stdout]     |             ^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 175 |             let _ = t.fft();
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_contract_mul_mat_mt` is never used
[INFO] [stdout]   --> benches/tensor_benches.rs:66:8
[INFO] [stdout]    |
[INFO] [stdout] 66 | pub fn bench_contract_mul_mat_mt(c: &mut Criterion) {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_kronecker_mt` is never used
[INFO] [stdout]   --> benches/tensor_benches.rs:77:8
[INFO] [stdout]    |
[INFO] [stdout] 77 | pub fn bench_kronecker_mt(c: &mut Criterion) {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_kronecker_mat_mt` is never used
[INFO] [stdout]   --> benches/tensor_benches.rs:88:8
[INFO] [stdout]    |
[INFO] [stdout] 88 | pub fn bench_kronecker_mat_mt(c: &mut Criterion) {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_pool_mt` is never used
[INFO] [stdout]   --> benches/tensor_benches.rs:99:8
[INFO] [stdout]    |
[INFO] [stdout] 99 | pub fn bench_pool_mt(c: &mut Criterion) {
[INFO] [stdout]    |        ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_pool_mat_mt` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:114:8
[INFO] [stdout]     |
[INFO] [stdout] 114 | pub fn bench_pool_mat_mt(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_det` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:130:8
[INFO] [stdout]     |
[INFO] [stdout] 130 | pub fn bench_det(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_inv` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:140:8
[INFO] [stdout]     |
[INFO] [stdout] 140 | pub fn bench_inv(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_eigendecompose` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:154:8
[INFO] [stdout]     |
[INFO] [stdout] 154 | pub fn bench_eigendecompose(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:218:13
[INFO] [stdout]     |
[INFO] [stdout] 218 |             m1.conv_mt(&m2);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 218 |             let _ = m1.conv_mt(&m2);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_tensor_fft` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:166:8
[INFO] [stdout]     |
[INFO] [stdout] 166 | pub fn bench_tensor_fft(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_mat_fft` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:180:8
[INFO] [stdout]     |
[INFO] [stdout] 180 | pub fn bench_mat_fft(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:229:13
[INFO] [stdout]     |
[INFO] [stdout] 229 |             t1.conv_mt(&t2);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 229 |             let _ = t1.conv_mt(&t2);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:265:13
[INFO] [stdout]     |
[INFO] [stdout] 265 |             in1.fft_conv(&in2);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 265 |             let _ = in1.fft_conv(&in2);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_flip_mat_mt` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:192:8
[INFO] [stdout]     |
[INFO] [stdout] 192 | pub fn bench_flip_mat_mt(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_flip_tensor_mt` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:202:8
[INFO] [stdout]     |
[INFO] [stdout] 202 | pub fn bench_flip_tensor_mt(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_normal_conv_mat_mt` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:212:8
[INFO] [stdout]     |
[INFO] [stdout] 212 | pub fn bench_normal_conv_mat_mt(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_normal_conv_tensor_mt` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:223:8
[INFO] [stdout]     |
[INFO] [stdout] 223 | pub fn bench_normal_conv_tensor_mt(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_fft_conv_mat` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:234:8
[INFO] [stdout]     |
[INFO] [stdout] 234 | pub fn bench_fft_conv_mat(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bench_fft_conv_tensor` is never used
[INFO] [stdout]    --> benches/tensor_benches.rs:250:8
[INFO] [stdout]     |
[INFO] [stdout] 250 | pub fn bench_fft_conv_tensor(c: &mut Criterion) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:104:13
[INFO] [stdout]     |
[INFO] [stdout] 104 | /             t1.pool_mt(
[INFO] [stdout] 105 | |                 black_box(&pool_avg),
[INFO] [stdout] 106 | |                 black_box(&shape![11, 13, 17]),
[INFO] [stdout] 107 | |                 black_box(&shape![5, 7, 3]),
[INFO] [stdout] 108 | |                 black_box(0.0),
[INFO] [stdout] 109 | |             );
[INFO] [stdout]     | |_____________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout]     = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 104 |             let _ = t1.pool_mt(
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:135:13
[INFO] [stdout]     |
[INFO] [stdout] 135 |             m1.det();
[INFO] [stdout]     |             ^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 135 |             let _ = m1.det();
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:161:13
[INFO] [stdout]     |
[INFO] [stdout] 161 |             m.eigendecompose();
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 161 |             let _ = m.eigendecompose();
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:175:13
[INFO] [stdout]     |
[INFO] [stdout] 175 |             t.fft();
[INFO] [stdout]     |             ^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 175 |             let _ = t.fft();
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:218:13
[INFO] [stdout]     |
[INFO] [stdout] 218 |             m1.conv_mt(&m2);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 218 |             let _ = m1.conv_mt(&m2);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:229:13
[INFO] [stdout]     |
[INFO] [stdout] 229 |             t1.conv_mt(&t2);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 229 |             let _ = t1.conv_mt(&t2);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused `Result` that must be used
[INFO] [stdout]    --> benches/tensor_benches.rs:265:13
[INFO] [stdout]     |
[INFO] [stdout] 265 |             in1.fft_conv(&in2);
[INFO] [stdout]     |             ^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this `Result` may be an `Err` variant, which should be handled
[INFO] [stdout] help: use `let _ = ...` to ignore the resulting value
[INFO] [stdout]     |
[INFO] [stdout] 265 |             let _ = in1.fft_conv(&in2);
[INFO] [stdout]     |             +++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 23.57s
[INFO] running `Command { std: "docker" "inspect" "491a302adb2616ec75a8e75de39eb1999b439291217dcaa8a2d8cba3224b89ed", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "491a302adb2616ec75a8e75de39eb1999b439291217dcaa8a2d8cba3224b89ed", kill_on_drop: false }`
[INFO] [stdout] 491a302adb2616ec75a8e75de39eb1999b439291217dcaa8a2d8cba3224b89ed
