[INFO] fetching crate torsh-series 0.1.0-alpha.1...
[INFO] checking torsh-series-0.1.0-alpha.1 against master#bad50269f8eb0fda214f0478c3afb2c6fbb427fd for pr-149195-1
[INFO] extracting crate torsh-series 0.1.0-alpha.1 into /workspace/builds/worker-4-tc1/source
[INFO] started tweaking crates.io crate torsh-series 0.1.0-alpha.1
[INFO] finished tweaking crates.io crate torsh-series 0.1.0-alpha.1
[INFO] tweaked toml for crates.io crate torsh-series 0.1.0-alpha.1 written to /workspace/builds/worker-4-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate torsh-series 0.1.0-alpha.1 on toolchain bad50269f8eb0fda214f0478c3afb2c6fbb427fd
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate torsh-series 0.1.0-alpha.1 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" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] [stderr]     Updating crates.io index
[INFO] [stderr]  Downloading crates ...
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[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-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@sha256:94a0c148923f5b2b52a63ef0eeb1882ad339ab61bce784c8077cbe41c61feb6c" "/opt/rustwide/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] 29a02cfda2d6bd073720b0a5a88d21378aa218aecb507d0ddfa847d3f7aedac5
[INFO] running `Command { std: "docker" "start" "-a" "29a02cfda2d6bd073720b0a5a88d21378aa218aecb507d0ddfa847d3f7aedac5", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "29a02cfda2d6bd073720b0a5a88d21378aa218aecb507d0ddfa847d3f7aedac5", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "29a02cfda2d6bd073720b0a5a88d21378aa218aecb507d0ddfa847d3f7aedac5", kill_on_drop: false }`
[INFO] [stdout] 29a02cfda2d6bd073720b0a5a88d21378aa218aecb507d0ddfa847d3f7aedac5
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-4-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@sha256:94a0c148923f5b2b52a63ef0eeb1882ad339ab61bce784c8077cbe41c61feb6c" "/opt/rustwide/cargo-home/bin/cargo" "+bad50269f8eb0fda214f0478c3afb2c6fbb427fd" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 0c2701bc35b9db04822f9287427459a0cf64ffe85841d929c01da29973087b15
[INFO] running `Command { std: "docker" "start" "-a" "0c2701bc35b9db04822f9287427459a0cf64ffe85841d929c01da29973087b15", kill_on_drop: false }`
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[INFO] [stdout] warning: unused import: `torsh_core::device::DeviceType`
[INFO] [stdout]  --> src/anomaly.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use torsh_core::device::DeviceType;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: requested on the command line with `-W unused-imports`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Tensor`
[INFO] [stdout]  --> src/decomposition/classical.rs:4:37
[INFO] [stdout]   |
[INFO] [stdout] 4 | use torsh_tensor::{creation::zeros, Tensor};
[INFO] [stdout]   |                                     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `creation::zeros`
[INFO] [stdout]  --> src/decomposition/stl.rs:5:20
[INFO] [stdout]   |
[INFO] [stdout] 5 | use torsh_tensor::{creation::zeros, Tensor};
[INFO] [stdout]   |                    ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Tensor`
[INFO] [stdout]  --> src/forecast/arima.rs:4:37
[INFO] [stdout]   |
[INFO] [stdout] 4 | use torsh_tensor::{creation::zeros, Tensor};
[INFO] [stdout]   |                                     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Tensor`
[INFO] [stdout]  --> src/forecast/smoothing.rs:4:37
[INFO] [stdout]   |
[INFO] [stdout] 4 | use torsh_tensor::{creation::zeros, Tensor};
[INFO] [stdout]   |                                     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_core::device::DeviceType`
[INFO] [stdout]  --> src/anomaly.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use torsh_core::device::DeviceType;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: requested on the command line with `-W unused-imports`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]   --> src/decomposition/classical.rs:92:9
[INFO] [stdout]    |
[INFO] [stdout] 92 |     use torsh_tensor::creation::*;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]   --> src/decomposition/seasonal.rs:54:9
[INFO] [stdout]    |
[INFO] [stdout] 54 |     use torsh_tensor::creation::*;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]    --> src/decomposition/ssa.rs:189:9
[INFO] [stdout]     |
[INFO] [stdout] 189 |     use torsh_tensor::creation::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `creation::zeros`
[INFO] [stdout]  --> src/decomposition/stl.rs:5:20
[INFO] [stdout]   |
[INFO] [stdout] 5 | use torsh_tensor::{creation::zeros, Tensor};
[INFO] [stdout]   |                    ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]    --> src/decomposition/stl.rs:110:9
[INFO] [stdout]     |
[INFO] [stdout] 110 |     use torsh_tensor::creation::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]    --> src/forecast/arima.rs:170:9
[INFO] [stdout]     |
[INFO] [stdout] 170 |     use torsh_tensor::creation::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]    --> src/forecast/deep.rs:510:9
[INFO] [stdout]     |
[INFO] [stdout] 510 |     use torsh_tensor::creation::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]    --> src/forecast/smoothing.rs:179:9
[INFO] [stdout]     |
[INFO] [stdout] 179 |     use torsh_tensor::creation::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]    --> src/state_space/kalman.rs:342:9
[INFO] [stdout]     |
[INFO] [stdout] 342 |     use torsh_tensor::creation::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]    --> src/state_space/particle.rs:279:9
[INFO] [stdout]     |
[INFO] [stdout] 279 |     use torsh_tensor::creation::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]    --> src/state_space/unscented.rs:368:9
[INFO] [stdout]     |
[INFO] [stdout] 368 |     use torsh_tensor::creation::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]    --> src/utils/features.rs:117:9
[INFO] [stdout]     |
[INFO] [stdout] 117 |     use torsh_tensor::creation::*;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `creation::*`
[INFO] [stdout]    --> src/utils/metrics.rs:104:24
[INFO] [stdout]     |
[INFO] [stdout] 104 |     use torsh_tensor::{creation::*, Tensor};
[INFO] [stdout]     |                        ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `torsh_tensor::creation::*`
[INFO] [stdout]   --> src/utils/preprocessing.rs:85:9
[INFO] [stdout]    |
[INFO] [stdout] 85 |     use torsh_tensor::creation::*;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `creation::*`
[INFO] [stdout]    --> src/utils/validation.rs:224:24
[INFO] [stdout]     |
[INFO] [stdout] 224 |     use torsh_tensor::{creation::*, Tensor};
[INFO] [stdout]     |                        ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `approx::assert_relative_eq`
[INFO] [stdout]    --> src/lib.rs:139:9
[INFO] [stdout]     |
[INFO] [stdout] 139 |     use approx::assert_relative_eq;
[INFO] [stdout]     |         ^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]   --> src/anomaly.rs:43:26
[INFO] [stdout]    |
[INFO] [stdout] 43 |     pub fn detect(&self, series: &TimeSeries) -> Vec<usize> {
[INFO] [stdout]    |                          ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout]    |
[INFO] [stdout]    = note: requested on the command line with `-W unused-variables`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]    --> src/anomaly.rs:227:27
[INFO] [stdout]     |
[INFO] [stdout] 227 |     pub fn fit(&mut self, series: &TimeSeries) {
[INFO] [stdout]     |                           ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_len`
[INFO] [stdout]   --> src/forecast/deep.rs:81:13
[INFO] [stdout]    |
[INFO] [stdout] 81 |         let seq_len = x.shape().dims()[1];
[INFO] [stdout]    |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_len`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `lstm_out`
[INFO] [stdout]   --> src/forecast/deep.rs:87:13
[INFO] [stdout]    |
[INFO] [stdout] 87 |         let lstm_out = if let Some(ref dropout) = self.dropout {
[INFO] [stdout]    |             ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_lstm_out`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `f`
[INFO] [stdout]    --> src/state_space/extended.rs:121:9
[INFO] [stdout]     |
[INFO] [stdout] 121 |         f: &dyn Fn(&Tensor) -> Tensor,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_f`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> src/state_space/extended.rs:122:9
[INFO] [stdout]     |
[INFO] [stdout] 122 |         x: &Tensor,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `f_jacobian`
[INFO] [stdout]    --> src/state_space/extended.rs:157:13
[INFO] [stdout]     |
[INFO] [stdout] 157 |         let f_jacobian = self.transition_jacobian(&self.state);
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_f_jacobian`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `predicted_obs`
[INFO] [stdout]    --> src/state_space/extended.rs:167:13
[INFO] [stdout]     |
[INFO] [stdout] 167 |         let predicted_obs = (self.observation_fn)(&self.state);
[INFO] [stdout]     |             ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_predicted_obs`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `innovation`
[INFO] [stdout]    --> src/state_space/extended.rs:171:13
[INFO] [stdout]     |
[INFO] [stdout] 171 |         let innovation = observation.clone();
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_innovation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `h_jacobian`
[INFO] [stdout]    --> src/state_space/extended.rs:174:13
[INFO] [stdout]     |
[INFO] [stdout] 174 |         let h_jacobian = self.observation_jacobian(&self.state);
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_h_jacobian`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]    --> src/state_space/extended.rs:215:38
[INFO] [stdout]     |
[INFO] [stdout] 215 |     pub fn log_likelihood(&mut self, series: &TimeSeries) -> f32 {
[INFO] [stdout]     |                                      ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `predicted`
[INFO] [stdout]    --> src/state_space/particle.rs:138:17
[INFO] [stdout]     |
[INFO] [stdout] 138 |             let predicted = transition_fn(&particle);
[INFO] [stdout]     |                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_predicted`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `noise_std`
[INFO] [stdout]    --> src/state_space/particle.rs:147:9
[INFO] [stdout]     |
[INFO] [stdout] 147 |         noise_std: f32,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_noise_std`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `predicted`
[INFO] [stdout]    --> src/state_space/particle.rs:152:17
[INFO] [stdout]     |
[INFO] [stdout] 152 |             let predicted = transition_fn(&particle);
[INFO] [stdout]     |                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_predicted`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `noise`
[INFO] [stdout]    --> src/state_space/particle.rs:155:17
[INFO] [stdout]     |
[INFO] [stdout] 155 |             let noise: Tensor<f32> = randn(&[1, self.state_dim]).unwrap();
[INFO] [stdout]     |                 ^^^^^ help: if this is intentional, prefix it with an underscore: `_noise`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `likelihood`
[INFO] [stdout]    --> src/state_space/particle.rs:172:17
[INFO] [stdout]     |
[INFO] [stdout] 172 |             let likelihood = likelihood_fn(&particle, observation);
[INFO] [stdout]     |                 ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_likelihood`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `w0_cov`
[INFO] [stdout]    --> src/state_space/unscented.rs:160:13
[INFO] [stdout]     |
[INFO] [stdout] 160 |         let w0_cov = w0_mean + (1.0 - self.alpha.powi(2) + self.beta);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_w0_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `predicted_cov`
[INFO] [stdout]    --> src/state_space/unscented.rs:248:30
[INFO] [stdout]     |
[INFO] [stdout] 248 |         let (predicted_mean, predicted_cov) = self.unscented_transform_predict(transition_fn);
[INFO] [stdout]     |                              ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_predicted_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `obs_mean`
[INFO] [stdout]    --> src/state_space/unscented.rs:267:14
[INFO] [stdout]     |
[INFO] [stdout] 267 |         let (obs_mean, obs_cov, cross_cov) =
[INFO] [stdout]     |              ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_obs_mean`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `obs_cov`
[INFO] [stdout]    --> src/state_space/unscented.rs:267:24
[INFO] [stdout]     |
[INFO] [stdout] 267 |         let (obs_mean, obs_cov, cross_cov) =
[INFO] [stdout]     |                        ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_obs_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cross_cov`
[INFO] [stdout]    --> src/state_space/unscented.rs:267:33
[INFO] [stdout]     |
[INFO] [stdout] 267 |         let (obs_mean, obs_cov, cross_cov) =
[INFO] [stdout]     |                                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_cross_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `innovation`
[INFO] [stdout]    --> src/state_space/unscented.rs:272:13
[INFO] [stdout]     |
[INFO] [stdout] 272 |         let innovation = observation.clone(); // TODO: Implement subtraction
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_innovation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]    --> src/state_space/unscented.rs:329:9
[INFO] [stdout]     |
[INFO] [stdout] 329 |         series: &TimeSeries,
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `transition_fn`
[INFO] [stdout]    --> src/state_space/unscented.rs:330:9
[INFO] [stdout]     |
[INFO] [stdout] 330 |         transition_fn: &dyn Fn(&Tensor) -> Tensor,
[INFO] [stdout]     |         ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_transition_fn`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `observation_fn`
[INFO] [stdout]    --> src/state_space/unscented.rs:331:9
[INFO] [stdout]     |
[INFO] [stdout] 331 |         observation_fn: &dyn Fn(&Tensor) -> Tensor,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_observation_fn`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]   --> src/utils/features.rs:52:24
[INFO] [stdout]    |
[INFO] [stdout] 52 | pub fn autocorrelation(series: &TimeSeries, max_lag: usize) -> Vec<f64> {
[INFO] [stdout]    |                        ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]   --> src/utils/features.rs:79:23
[INFO] [stdout]    |
[INFO] [stdout] 79 | pub fn trend_features(series: &TimeSeries) -> TrendFeatures {
[INFO] [stdout]    |                       ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]  --> src/utils/preprocessing.rs:8:9
[INFO] [stdout]   |
[INFO] [stdout] 8 |     let mut values = series.values.clone();
[INFO] [stdout]   |         ----^^^^^^
[INFO] [stdout]   |         |
[INFO] [stdout]   |         help: remove this `mut`
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `lambda`
[INFO] [stdout]   --> src/utils/preprocessing.rs:57:37
[INFO] [stdout]    |
[INFO] [stdout] 57 | pub fn box_cox(series: &TimeSeries, lambda: f32) -> TimeSeries {
[INFO] [stdout]    |                                     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `lambda`
[INFO] [stdout]   --> src/utils/preprocessing.rs:65:41
[INFO] [stdout]    |
[INFO] [stdout] 65 | pub fn inv_box_cox(series: &TimeSeries, lambda: f32) -> TimeSeries {
[INFO] [stdout]    |                                         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `method` and `min_segment_length` are never read
[INFO] [stdout]   --> src/anomaly.rs:21:5
[INFO] [stdout]    |
[INFO] [stdout] 20 | pub struct ChangePointDetector {
[INFO] [stdout]    |            ------------------- fields in this struct
[INFO] [stdout] 21 |     method: String,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 22 |     penalty: f64,
[INFO] [stdout] 23 |     min_segment_length: usize,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: requested on the command line with `-W dead-code`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `n_estimators` and `max_samples` are never read
[INFO] [stdout]    --> src/anomaly.rs:175:5
[INFO] [stdout]     |
[INFO] [stdout] 174 | pub struct IsolationForest {
[INFO] [stdout]     |            --------------- fields in this struct
[INFO] [stdout] 175 |     n_estimators: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^^
[INFO] [stdout] 176 |     max_samples: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `sequence_length`, `hidden_size`, and `threshold_percentile` are never read
[INFO] [stdout]    --> src/anomaly.rs:211:5
[INFO] [stdout]     |
[INFO] [stdout] 210 | pub struct LSTMAnomaly {
[INFO] [stdout]     |            ----------- fields in this struct
[INFO] [stdout] 211 |     sequence_length: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 212 |     hidden_size: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^
[INFO] [stdout] 213 |     threshold_percentile: f64,
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `period` is never read
[INFO] [stdout]   --> src/decomposition/classical.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | pub struct X11Decomposition {
[INFO] [stdout]    |            ---------------- field in this struct
[INFO] [stdout] 11 |     period: usize,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `period` is never read
[INFO] [stdout]   --> src/decomposition/classical.rs:44:5
[INFO] [stdout]    |
[INFO] [stdout] 43 | pub struct AdditiveDecomposition {
[INFO] [stdout]    |            --------------------- field in this struct
[INFO] [stdout] 44 |     period: usize,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `period` is never read
[INFO] [stdout]   --> src/decomposition/classical.rs:67:5
[INFO] [stdout]    |
[INFO] [stdout] 66 | pub struct MultiplicativeDecomposition {
[INFO] [stdout]    |            --------------------------- field in this struct
[INFO] [stdout] 67 |     period: usize,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `periods` is never read
[INFO] [stdout]   --> src/decomposition/seasonal.rs:19:5
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub struct MSTLDecomposition {
[INFO] [stdout]    |            ----------------- field in this struct
[INFO] [stdout] 19 |     periods: Vec<usize>,
[INFO] [stdout]    |     ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `trend_deg` is never read
[INFO] [stdout]   --> src/decomposition/stl.rs:22:5
[INFO] [stdout]    |
[INFO] [stdout] 19 | pub struct STLDecomposition {
[INFO] [stdout]    |            ---------------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 22 |     trend_deg: usize,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `seasonal` is never read
[INFO] [stdout]    --> src/forecast/arima.rs:123:5
[INFO] [stdout]     |
[INFO] [stdout] 119 | pub struct AutoARIMA {
[INFO] [stdout]     |            --------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 123 |     seasonal: bool,
[INFO] [stdout]     |     ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `weights_mean` and `weights_cov` are never read
[INFO] [stdout]   --> src/state_space/unscented.rs:22:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | pub struct UnscentedKalmanFilter {
[INFO] [stdout]    |            --------------------- fields in this struct
[INFO] [stdout] ...
[INFO] [stdout] 22 |     weights_mean: Tensor,
[INFO] [stdout]    |     ^^^^^^^^^^^^
[INFO] [stdout] 23 |     /// Weights for covariance computation
[INFO] [stdout] 24 |     weights_cov: Tensor,
[INFO] [stdout]    |     ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]   --> src/anomaly.rs:43:26
[INFO] [stdout]    |
[INFO] [stdout] 43 |     pub fn detect(&self, series: &TimeSeries) -> Vec<usize> {
[INFO] [stdout]    |                          ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout]    |
[INFO] [stdout]    = note: requested on the command line with `-W unused-variables`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]    --> src/anomaly.rs:227:27
[INFO] [stdout]     |
[INFO] [stdout] 227 |     pub fn fit(&mut self, series: &TimeSeries) {
[INFO] [stdout]     |                           ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_len`
[INFO] [stdout]   --> src/forecast/deep.rs:81:13
[INFO] [stdout]    |
[INFO] [stdout] 81 |         let seq_len = x.shape().dims()[1];
[INFO] [stdout]    |             ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_len`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `lstm_out`
[INFO] [stdout]   --> src/forecast/deep.rs:87:13
[INFO] [stdout]    |
[INFO] [stdout] 87 |         let lstm_out = if let Some(ref dropout) = self.dropout {
[INFO] [stdout]    |             ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_lstm_out`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `f`
[INFO] [stdout]    --> src/state_space/extended.rs:121:9
[INFO] [stdout]     |
[INFO] [stdout] 121 |         f: &dyn Fn(&Tensor) -> Tensor,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_f`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x`
[INFO] [stdout]    --> src/state_space/extended.rs:122:9
[INFO] [stdout]     |
[INFO] [stdout] 122 |         x: &Tensor,
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_x`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `f_jacobian`
[INFO] [stdout]    --> src/state_space/extended.rs:157:13
[INFO] [stdout]     |
[INFO] [stdout] 157 |         let f_jacobian = self.transition_jacobian(&self.state);
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_f_jacobian`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `predicted_obs`
[INFO] [stdout]    --> src/state_space/extended.rs:167:13
[INFO] [stdout]     |
[INFO] [stdout] 167 |         let predicted_obs = (self.observation_fn)(&self.state);
[INFO] [stdout]     |             ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_predicted_obs`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `innovation`
[INFO] [stdout]    --> src/state_space/extended.rs:171:13
[INFO] [stdout]     |
[INFO] [stdout] 171 |         let innovation = observation.clone();
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_innovation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `h_jacobian`
[INFO] [stdout]    --> src/state_space/extended.rs:174:13
[INFO] [stdout]     |
[INFO] [stdout] 174 |         let h_jacobian = self.observation_jacobian(&self.state);
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_h_jacobian`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]    --> src/state_space/extended.rs:215:38
[INFO] [stdout]     |
[INFO] [stdout] 215 |     pub fn log_likelihood(&mut self, series: &TimeSeries) -> f32 {
[INFO] [stdout]     |                                      ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `predicted`
[INFO] [stdout]    --> src/state_space/particle.rs:138:17
[INFO] [stdout]     |
[INFO] [stdout] 138 |             let predicted = transition_fn(&particle);
[INFO] [stdout]     |                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_predicted`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `noise_std`
[INFO] [stdout]    --> src/state_space/particle.rs:147:9
[INFO] [stdout]     |
[INFO] [stdout] 147 |         noise_std: f32,
[INFO] [stdout]     |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_noise_std`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `predicted`
[INFO] [stdout]    --> src/state_space/particle.rs:152:17
[INFO] [stdout]     |
[INFO] [stdout] 152 |             let predicted = transition_fn(&particle);
[INFO] [stdout]     |                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_predicted`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `noise`
[INFO] [stdout]    --> src/state_space/particle.rs:155:17
[INFO] [stdout]     |
[INFO] [stdout] 155 |             let noise: Tensor<f32> = randn(&[1, self.state_dim]).unwrap();
[INFO] [stdout]     |                 ^^^^^ help: if this is intentional, prefix it with an underscore: `_noise`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `likelihood`
[INFO] [stdout]    --> src/state_space/particle.rs:172:17
[INFO] [stdout]     |
[INFO] [stdout] 172 |             let likelihood = likelihood_fn(&particle, observation);
[INFO] [stdout]     |                 ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_likelihood`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `w0_cov`
[INFO] [stdout]    --> src/state_space/unscented.rs:160:13
[INFO] [stdout]     |
[INFO] [stdout] 160 |         let w0_cov = w0_mean + (1.0 - self.alpha.powi(2) + self.beta);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_w0_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `predicted_cov`
[INFO] [stdout]    --> src/state_space/unscented.rs:248:30
[INFO] [stdout]     |
[INFO] [stdout] 248 |         let (predicted_mean, predicted_cov) = self.unscented_transform_predict(transition_fn);
[INFO] [stdout]     |                              ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_predicted_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `obs_mean`
[INFO] [stdout]    --> src/state_space/unscented.rs:267:14
[INFO] [stdout]     |
[INFO] [stdout] 267 |         let (obs_mean, obs_cov, cross_cov) =
[INFO] [stdout]     |              ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_obs_mean`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `obs_cov`
[INFO] [stdout]    --> src/state_space/unscented.rs:267:24
[INFO] [stdout]     |
[INFO] [stdout] 267 |         let (obs_mean, obs_cov, cross_cov) =
[INFO] [stdout]     |                        ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_obs_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cross_cov`
[INFO] [stdout]    --> src/state_space/unscented.rs:267:33
[INFO] [stdout]     |
[INFO] [stdout] 267 |         let (obs_mean, obs_cov, cross_cov) =
[INFO] [stdout]     |                                 ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_cross_cov`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `innovation`
[INFO] [stdout]    --> src/state_space/unscented.rs:272:13
[INFO] [stdout]     |
[INFO] [stdout] 272 |         let innovation = observation.clone(); // TODO: Implement subtraction
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_innovation`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]    --> src/state_space/unscented.rs:329:9
[INFO] [stdout]     |
[INFO] [stdout] 329 |         series: &TimeSeries,
[INFO] [stdout]     |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `transition_fn`
[INFO] [stdout]    --> src/state_space/unscented.rs:330:9
[INFO] [stdout]     |
[INFO] [stdout] 330 |         transition_fn: &dyn Fn(&Tensor) -> Tensor,
[INFO] [stdout]     |         ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_transition_fn`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `observation_fn`
[INFO] [stdout]    --> src/state_space/unscented.rs:331:9
[INFO] [stdout]     |
[INFO] [stdout] 331 |         observation_fn: &dyn Fn(&Tensor) -> Tensor,
[INFO] [stdout]     |         ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_observation_fn`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]   --> src/utils/features.rs:52:24
[INFO] [stdout]    |
[INFO] [stdout] 52 | pub fn autocorrelation(series: &TimeSeries, max_lag: usize) -> Vec<f64> {
[INFO] [stdout]    |                        ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `series`
[INFO] [stdout]   --> src/utils/features.rs:79:23
[INFO] [stdout]    |
[INFO] [stdout] 79 | pub fn trend_features(series: &TimeSeries) -> TrendFeatures {
[INFO] [stdout]    |                       ^^^^^^ help: if this is intentional, prefix it with an underscore: `_series`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]  --> src/utils/preprocessing.rs:8:9
[INFO] [stdout]   |
[INFO] [stdout] 8 |     let mut values = series.values.clone();
[INFO] [stdout]   |         ----^^^^^^
[INFO] [stdout]   |         |
[INFO] [stdout]   |         help: remove this `mut`
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `lambda`
[INFO] [stdout]   --> src/utils/preprocessing.rs:57:37
[INFO] [stdout]    |
[INFO] [stdout] 57 | pub fn box_cox(series: &TimeSeries, lambda: f32) -> TimeSeries {
[INFO] [stdout]    |                                     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `lambda`
[INFO] [stdout]   --> src/utils/preprocessing.rs:65:41
[INFO] [stdout]    |
[INFO] [stdout] 65 | pub fn inv_box_cox(series: &TimeSeries, lambda: f32) -> TimeSeries {
[INFO] [stdout]    |                                         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `method` and `min_segment_length` are never read
[INFO] [stdout]   --> src/anomaly.rs:21:5
[INFO] [stdout]    |
[INFO] [stdout] 20 | pub struct ChangePointDetector {
[INFO] [stdout]    |            ------------------- fields in this struct
[INFO] [stdout] 21 |     method: String,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 22 |     penalty: f64,
[INFO] [stdout] 23 |     min_segment_length: usize,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: requested on the command line with `-W dead-code`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `n_estimators` and `max_samples` are never read
[INFO] [stdout]    --> src/anomaly.rs:175:5
[INFO] [stdout]     |
[INFO] [stdout] 174 | pub struct IsolationForest {
[INFO] [stdout]     |            --------------- fields in this struct
[INFO] [stdout] 175 |     n_estimators: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^^
[INFO] [stdout] 176 |     max_samples: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `sequence_length`, `hidden_size`, and `threshold_percentile` are never read
[INFO] [stdout]    --> src/anomaly.rs:211:5
[INFO] [stdout]     |
[INFO] [stdout] 210 | pub struct LSTMAnomaly {
[INFO] [stdout]     |            ----------- fields in this struct
[INFO] [stdout] 211 |     sequence_length: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 212 |     hidden_size: usize,
[INFO] [stdout]     |     ^^^^^^^^^^^
[INFO] [stdout] 213 |     threshold_percentile: f64,
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `period` is never read
[INFO] [stdout]   --> src/decomposition/classical.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | pub struct X11Decomposition {
[INFO] [stdout]    |            ---------------- field in this struct
[INFO] [stdout] 11 |     period: usize,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `period` is never read
[INFO] [stdout]   --> src/decomposition/classical.rs:44:5
[INFO] [stdout]    |
[INFO] [stdout] 43 | pub struct AdditiveDecomposition {
[INFO] [stdout]    |            --------------------- field in this struct
[INFO] [stdout] 44 |     period: usize,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `period` is never read
[INFO] [stdout]   --> src/decomposition/classical.rs:67:5
[INFO] [stdout]    |
[INFO] [stdout] 66 | pub struct MultiplicativeDecomposition {
[INFO] [stdout]    |            --------------------------- field in this struct
[INFO] [stdout] 67 |     period: usize,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `periods` is never read
[INFO] [stdout]   --> src/decomposition/seasonal.rs:19:5
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub struct MSTLDecomposition {
[INFO] [stdout]    |            ----------------- field in this struct
[INFO] [stdout] 19 |     periods: Vec<usize>,
[INFO] [stdout]    |     ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `seasonal` is never read
[INFO] [stdout]    --> src/forecast/arima.rs:123:5
[INFO] [stdout]     |
[INFO] [stdout] 119 | pub struct AutoARIMA {
[INFO] [stdout]     |            --------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 123 |     seasonal: bool,
[INFO] [stdout]     |     ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `weights_mean` and `weights_cov` are never read
[INFO] [stdout]   --> src/state_space/unscented.rs:22:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | pub struct UnscentedKalmanFilter {
[INFO] [stdout]    |            --------------------- fields in this struct
[INFO] [stdout] ...
[INFO] [stdout] 22 |     weights_mean: Tensor,
[INFO] [stdout]    |     ^^^^^^^^^^^^
[INFO] [stdout] 23 |     /// Weights for covariance computation
[INFO] [stdout] 24 |     weights_cov: Tensor,
[INFO] [stdout]    |     ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 2m 36s
[INFO] running `Command { std: "docker" "inspect" "0c2701bc35b9db04822f9287427459a0cf64ffe85841d929c01da29973087b15", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "0c2701bc35b9db04822f9287427459a0cf64ffe85841d929c01da29973087b15", kill_on_drop: false }`
[INFO] [stdout] 0c2701bc35b9db04822f9287427459a0cf64ffe85841d929c01da29973087b15
