[INFO] cloning repository https://github.com/cavinsresearch/pythia [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/cavinsresearch/pythia" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fcavinsresearch%2Fpythia", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fcavinsresearch%2Fpythia'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] 0f24141f62d9aab07552756cd4f674fefdcdd530 [INFO] testing cavinsresearch/pythia against 1.86.0 for beta-1.87-1 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fcavinsresearch%2Fpythia" "/workspace/builds/worker-1-tc1/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-1-tc1/source'... [INFO] [stderr] done. [INFO] validating manifest of git repo https://github.com/cavinsresearch/pythia on toolchain 1.86.0 [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.86.0" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] started tweaking git repo https://github.com/cavinsresearch/pythia [INFO] finished tweaking git repo https://github.com/cavinsresearch/pythia [INFO] tweaked toml for git repo https://github.com/cavinsresearch/pythia written to /workspace/builds/worker-1-tc1/source/Cargo.toml [INFO] crate git repo https://github.com/cavinsresearch/pythia 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" "+1.86.0" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Updating crates.io index [INFO] [stderr] Downloading crates ... 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"--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 022da9dad40c548c6181f777ffc19570698f2824dad9c0cc75eacf4455aae8aa [INFO] running `Command { std: "docker" "start" "-a" "022da9dad40c548c6181f777ffc19570698f2824dad9c0cc75eacf4455aae8aa", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "022da9dad40c548c6181f777ffc19570698f2824dad9c0cc75eacf4455aae8aa", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "022da9dad40c548c6181f777ffc19570698f2824dad9c0cc75eacf4455aae8aa", kill_on_drop: false }` [INFO] [stdout] 022da9dad40c548c6181f777ffc19570698f2824dad9c0cc75eacf4455aae8aa [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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=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:b0b074c097205a61b89e8ad263052f976b2b332c4dc5f02aef1fe52501660d6e" "/opt/rustwide/cargo-home/bin/cargo" "+1.86.0" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 1cc9917bb1b157c7450cc465728e60ab39000b80154ae80a1f9278fd3618c68a [INFO] running `Command { std: "docker" "start" "-a" "1cc9917bb1b157c7450cc465728e60ab39000b80154ae80a1f9278fd3618c68a", kill_on_drop: false }` [INFO] [stderr] Compiling proc-macro2 v1.0.94 [INFO] [stderr] Compiling unicode-ident 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ndarray-stats v0.5.1 [INFO] [stderr] Compiling lax v0.16.0 [INFO] [stderr] Compiling ndarray-linalg v0.16.0 [INFO] [stderr] Compiling pythia v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `Array2` [INFO] [stdout] --> src/analysis/factors.rs:1:26 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{s, Array1, Array2, ArrayView2, Axis}; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/orthogonalization.rs:2:58 [INFO] [stdout] | [INFO] [stdout] 2 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `FactorModelError` and `ThematicFactorModel` [INFO] [stdout] --> src/analysis/pca.rs:2:31 [INFO] [stdout] | [INFO] [stdout] 2 | FactorGroup, FactorModel, FactorModelError, Result as ModelResult, ThematicFactorModel, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `super::weighting::WeightingScheme` [INFO] [stdout] --> src/analysis/pca.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use super::weighting::WeightingScheme; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `s` [INFO] [stdout] --> src/analysis/pca.rs:7:15 [INFO] [stdout] | [INFO] [stdout] 7 | use ndarray::{s, Array1, Array2, ArrayView2}; [INFO] [stdout] | ^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `Deserialize` and `Serialize` [INFO] [stdout] --> src/analysis/pca.rs:9:13 [INFO] [stdout] | [INFO] [stdout] 9 | use serde::{Deserialize, Serialize}; [INFO] [stdout] | ^^^^^^^^^^^ ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ThematicFactorModel` [INFO] [stdout] --> src/analysis/risk_attribution.rs:1:53 [INFO] [stdout] | [INFO] [stdout] 1 | use super::factor_model::{FactorGroup, FactorModel, ThematicFactorModel}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/risk_attribution.rs:3:58 [INFO] [stdout] | [INFO] [stdout] 3 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/weighting.rs:1:58 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ndarray_stats::QuantileExt` [INFO] [stdout] --> src/analysis/risk_attribution.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use ndarray_stats::QuantileExt; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tickers` [INFO] [stdout] --> src/analysis/pca.rs:48:9 [INFO] [stdout] | [INFO] [stdout] 48 | tickers: &[String], [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tickers` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_periods` [INFO] [stdout] --> src/analysis/risk_attribution.rs:347:13 [INFO] [stdout] | [INFO] [stdout] 347 | let n_periods = self.returns.nrows(); [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_periods` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> src/analysis/risk_attribution.rs:346:41 [INFO] [stdout] | [INFO] [stdout] 346 | fn compute_residual_variance(&self, lambda: f64) -> Result { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `compute_factor_loadings` is never used [INFO] [stdout] --> src/analysis/risk_attribution.rs:378:8 [INFO] [stdout] | [INFO] [stdout] 46 | impl RiskAttributor { [INFO] [stdout] | -------------------------------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 378 | fn compute_factor_loadings( [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `X` should have a snake case name [INFO] [stdout] --> src/analysis/risk_attribution.rs:415:36 [INFO] [stdout] | [INFO] [stdout] 415 | fn compute_regression_coefficients(X: ArrayView2, y: ArrayView1) -> Result> { [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `x` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Array2` [INFO] [stdout] --> src/analysis/factors.rs:1:26 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{s, Array1, Array2, ArrayView2, Axis}; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/orthogonalization.rs:2:58 [INFO] [stdout] | [INFO] [stdout] 2 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `FactorModelError` and `ThematicFactorModel` [INFO] [stdout] --> src/analysis/pca.rs:2:31 [INFO] [stdout] | [INFO] [stdout] 2 | FactorGroup, FactorModel, FactorModelError, Result as ModelResult, ThematicFactorModel, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `super::weighting::WeightingScheme` [INFO] [stdout] --> src/analysis/pca.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use super::weighting::WeightingScheme; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `s` [INFO] [stdout] --> src/analysis/pca.rs:7:15 [INFO] [stdout] | [INFO] [stdout] 7 | use ndarray::{s, Array1, Array2, ArrayView2}; [INFO] [stdout] | ^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `Deserialize` and `Serialize` [INFO] [stdout] --> src/analysis/pca.rs:9:13 [INFO] [stdout] | [INFO] [stdout] 9 | use serde::{Deserialize, Serialize}; [INFO] [stdout] | ^^^^^^^^^^^ ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ThematicFactorModel` [INFO] [stdout] --> src/analysis/risk_attribution.rs:1:53 [INFO] [stdout] | [INFO] [stdout] 1 | use super::factor_model::{FactorGroup, FactorModel, ThematicFactorModel}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/risk_attribution.rs:3:58 [INFO] [stdout] | [INFO] [stdout] 3 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/weighting.rs:1:58 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `StatisticalFactorModel` and `orthogonalization::FactorOrthogonalizer` [INFO] [stdout] --> src/main.rs:8:5 [INFO] [stdout] | [INFO] [stdout] 8 | orthogonalization::FactorOrthogonalizer, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] 9 | pca::{StatisticalFactorModel, PCA}, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `types::OrthogonalizationMethod` [INFO] [stdout] --> src/main.rs:14:5 [INFO] [stdout] | [INFO] [stdout] 14 | use types::OrthogonalizationMethod; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ndarray_stats::QuantileExt` [INFO] [stdout] --> src/analysis/risk_attribution.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use ndarray_stats::QuantileExt; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tickers` [INFO] [stdout] --> src/analysis/pca.rs:48:9 [INFO] [stdout] | [INFO] [stdout] 48 | tickers: &[String], [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tickers` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_periods` [INFO] [stdout] --> src/analysis/risk_attribution.rs:347:13 [INFO] [stdout] | [INFO] [stdout] 347 | let n_periods = self.returns.nrows(); [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_periods` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> src/analysis/risk_attribution.rs:346:41 [INFO] [stdout] | [INFO] [stdout] 346 | fn compute_residual_variance(&self, lambda: f64) -> Result { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `create_default_factor_groups` is never used [INFO] [stdout] --> src/analysis/factor_config.rs:6:8 [INFO] [stdout] | [INFO] [stdout] 6 | pub fn create_default_factor_groups() -> Vec { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `create_pca_factor_groups` is never used [INFO] [stdout] --> src/analysis/factor_config.rs:108:8 [INFO] [stdout] | [INFO] [stdout] 108 | pub fn create_pca_factor_groups(n_factors: usize, tickers: &[String]) -> Vec { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `add_metadata` is never used [INFO] [stdout] --> src/analysis/factor_model.rs:54:8 [INFO] [stdout] | [INFO] [stdout] 30 | pub trait FactorModel { [INFO] [stdout] | ----------- method in this trait [INFO] [stdout] ... [INFO] [stdout] 54 | fn add_metadata(&mut self, key: &str, data: Array1); [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variant `InvalidDimensions` is never constructed [INFO] [stdout] --> src/analysis/orthogonalization.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 7 | pub enum OrthogonalizationError { [INFO] [stdout] | ---------------------- variant in this enum [INFO] [stdout] 8 | #[error("Invalid data dimensions")] [INFO] [stdout] 9 | InvalidDimensions, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `OrthogonalizationError` has a derived impl for the trait `Debug`, but this is intentionally ignored during dead code analysis [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: type alias `Result` is never used [INFO] [stdout] --> src/analysis/orthogonalization.rs:14:10 [INFO] [stdout] | [INFO] [stdout] 14 | pub type Result = std::result::Result; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `max_correlation` is never read [INFO] [stdout] --> src/analysis/orthogonalization.rs:19:9 [INFO] [stdout] | [INFO] [stdout] 17 | pub struct FactorOrthogonalizer { [INFO] [stdout] | -------------------- field in this struct [INFO] [stdout] 18 | pub method: OrthogonalizationMethod, [INFO] [stdout] 19 | pub max_correlation: f64, [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `FactorOrthogonalizer` has a derived impl for the trait `Debug`, but this is intentionally ignored during dead code analysis [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `compute_factor_loadings` is never used [INFO] [stdout] --> src/analysis/risk_attribution.rs:378:8 [INFO] [stdout] | [INFO] [stdout] 46 | impl RiskAttributor { [INFO] [stdout] | -------------------------------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 378 | fn compute_factor_loadings( [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `get_factor_priority` is never used [INFO] [stdout] --> src/config/mod.rs:68:12 [INFO] [stdout] | [INFO] [stdout] 47 | impl Config { [INFO] [stdout] | ----------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 68 | pub fn get_factor_priority(&self) -> Vec { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `X` should have a snake case name [INFO] [stdout] --> src/analysis/risk_attribution.rs:415:36 [INFO] [stdout] | [INFO] [stdout] 415 | fn compute_regression_coefficients(X: ArrayView2, y: ArrayView1) -> Result> { [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `x` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 27.55s [INFO] running `Command { std: "docker" "inspect" "1cc9917bb1b157c7450cc465728e60ab39000b80154ae80a1f9278fd3618c68a", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "1cc9917bb1b157c7450cc465728e60ab39000b80154ae80a1f9278fd3618c68a", kill_on_drop: false }` [INFO] [stdout] 1cc9917bb1b157c7450cc465728e60ab39000b80154ae80a1f9278fd3618c68a [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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=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:b0b074c097205a61b89e8ad263052f976b2b332c4dc5f02aef1fe52501660d6e" "/opt/rustwide/cargo-home/bin/cargo" "+1.86.0" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] d32ab18beee1af9e647e0edeb635088217b23f0b4a35c706b66a26a532ab5514 [INFO] running `Command { std: "docker" "start" "-a" "d32ab18beee1af9e647e0edeb635088217b23f0b4a35c706b66a26a532ab5514", kill_on_drop: false }` [INFO] [stdout] warning: unused import: `Array2` [INFO] [stdout] --> src/analysis/factors.rs:1:26 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{s, Array1, Array2, ArrayView2, Axis}; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/orthogonalization.rs:2:58 [INFO] [stdout] | [INFO] [stdout] 2 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `FactorModelError` and `ThematicFactorModel` [INFO] [stdout] --> src/analysis/pca.rs:2:31 [INFO] [stdout] | [INFO] [stdout] 2 | FactorGroup, FactorModel, FactorModelError, Result as ModelResult, ThematicFactorModel, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `super::weighting::WeightingScheme` [INFO] [stdout] --> src/analysis/pca.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use super::weighting::WeightingScheme; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `s` [INFO] [stdout] --> src/analysis/pca.rs:7:15 [INFO] [stdout] | [INFO] [stdout] 7 | use ndarray::{s, Array1, Array2, ArrayView2}; [INFO] [stdout] | ^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `Deserialize` and `Serialize` [INFO] [stdout] --> src/analysis/pca.rs:9:13 [INFO] [stdout] | [INFO] [stdout] 9 | use serde::{Deserialize, Serialize}; [INFO] [stdout] | ^^^^^^^^^^^ ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ThematicFactorModel` [INFO] [stdout] --> src/analysis/risk_attribution.rs:1:53 [INFO] [stdout] | [INFO] [stdout] 1 | use super::factor_model::{FactorGroup, FactorModel, ThematicFactorModel}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/risk_attribution.rs:3:58 [INFO] [stdout] | [INFO] [stdout] 3 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/weighting.rs:1:58 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ndarray_stats::QuantileExt` [INFO] [stdout] --> src/analysis/risk_attribution.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use ndarray_stats::QuantileExt; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tickers` [INFO] [stdout] --> src/analysis/pca.rs:48:9 [INFO] [stdout] | [INFO] [stdout] 48 | tickers: &[String], [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tickers` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_periods` [INFO] [stdout] --> src/analysis/risk_attribution.rs:347:13 [INFO] [stdout] | [INFO] [stdout] 347 | let n_periods = self.returns.nrows(); [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_periods` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> src/analysis/risk_attribution.rs:346:41 [INFO] [stdout] | [INFO] [stdout] 346 | fn compute_residual_variance(&self, lambda: f64) -> Result { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `compute_factor_loadings` is never used [INFO] [stdout] --> src/analysis/risk_attribution.rs:378:8 [INFO] [stdout] | [INFO] [stdout] 46 | impl RiskAttributor { [INFO] [stdout] | -------------------------------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 378 | fn compute_factor_loadings( [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `X` should have a snake case name [INFO] [stdout] --> src/analysis/risk_attribution.rs:415:36 [INFO] [stdout] | [INFO] [stdout] 415 | fn compute_regression_coefficients(X: ArrayView2, y: ArrayView1) -> Result> { [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `x` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Compiling pythia v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/orthogonalization.rs:2:58 [INFO] [stdout] | [INFO] [stdout] 2 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `FactorModelError` and `ThematicFactorModel` [INFO] [stdout] --> src/analysis/pca.rs:2:31 [INFO] [stdout] | [INFO] [stdout] 2 | FactorGroup, FactorModel, FactorModelError, Result as ModelResult, ThematicFactorModel, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `super::weighting::WeightingScheme` [INFO] [stdout] --> src/analysis/pca.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use super::weighting::WeightingScheme; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `s` [INFO] [stdout] --> src/analysis/pca.rs:7:15 [INFO] [stdout] | [INFO] [stdout] 7 | use ndarray::{s, Array1, Array2, ArrayView2}; [INFO] [stdout] | ^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `Deserialize` and `Serialize` [INFO] [stdout] --> src/analysis/pca.rs:9:13 [INFO] [stdout] | [INFO] [stdout] 9 | use serde::{Deserialize, Serialize}; [INFO] [stdout] | ^^^^^^^^^^^ ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ThematicFactorModel` [INFO] [stdout] --> src/analysis/risk_attribution.rs:1:53 [INFO] [stdout] | [INFO] [stdout] 1 | use super::factor_model::{FactorGroup, FactorModel, ThematicFactorModel}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/risk_attribution.rs:3:58 [INFO] [stdout] | [INFO] [stdout] 3 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/weighting.rs:1:58 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `StatisticalFactorModel` and `orthogonalization::FactorOrthogonalizer` [INFO] [stdout] --> src/main.rs:8:5 [INFO] [stdout] | [INFO] [stdout] 8 | orthogonalization::FactorOrthogonalizer, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] 9 | pca::{StatisticalFactorModel, PCA}, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `types::OrthogonalizationMethod` [INFO] [stdout] --> src/main.rs:14:5 [INFO] [stdout] | [INFO] [stdout] 14 | use types::OrthogonalizationMethod; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/orthogonalization.rs:2:58 [INFO] [stdout] | [INFO] [stdout] 2 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `FactorModelError` and `ThematicFactorModel` [INFO] [stdout] --> src/analysis/pca.rs:2:31 [INFO] [stdout] | [INFO] [stdout] 2 | FactorGroup, FactorModel, FactorModelError, Result as ModelResult, ThematicFactorModel, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `super::weighting::WeightingScheme` [INFO] [stdout] --> src/analysis/pca.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use super::weighting::WeightingScheme; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `s` [INFO] [stdout] --> src/analysis/pca.rs:7:15 [INFO] [stdout] | [INFO] [stdout] 7 | use ndarray::{s, Array1, Array2, ArrayView2}; [INFO] [stdout] | ^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `Deserialize` and `Serialize` [INFO] [stdout] --> src/analysis/pca.rs:9:13 [INFO] [stdout] | [INFO] [stdout] 9 | use serde::{Deserialize, Serialize}; [INFO] [stdout] | ^^^^^^^^^^^ ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ThematicFactorModel` [INFO] [stdout] --> src/analysis/risk_attribution.rs:1:53 [INFO] [stdout] | [INFO] [stdout] 1 | use super::factor_model::{FactorGroup, FactorModel, ThematicFactorModel}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/risk_attribution.rs:3:58 [INFO] [stdout] | [INFO] [stdout] 3 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Axis` [INFO] [stdout] --> src/analysis/weighting.rs:1:58 [INFO] [stdout] | [INFO] [stdout] 1 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ndarray_stats::QuantileExt` [INFO] [stdout] --> src/analysis/risk_attribution.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use ndarray_stats::QuantileExt; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ndarray_stats::QuantileExt` [INFO] [stdout] --> src/analysis/risk_attribution.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use ndarray_stats::QuantileExt; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tickers` [INFO] [stdout] --> src/analysis/pca.rs:48:9 [INFO] [stdout] | [INFO] [stdout] 48 | tickers: &[String], [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tickers` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tickers` [INFO] [stdout] --> src/analysis/pca.rs:48:9 [INFO] [stdout] | [INFO] [stdout] 48 | tickers: &[String], [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tickers` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_periods` [INFO] [stdout] --> src/analysis/risk_attribution.rs:347:13 [INFO] [stdout] | [INFO] [stdout] 347 | let n_periods = self.returns.nrows(); [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_periods` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> src/analysis/risk_attribution.rs:346:41 [INFO] [stdout] | [INFO] [stdout] 346 | fn compute_residual_variance(&self, lambda: f64) -> Result { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `n_periods` [INFO] [stdout] --> src/analysis/risk_attribution.rs:347:13 [INFO] [stdout] | [INFO] [stdout] 347 | let n_periods = self.returns.nrows(); [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_periods` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> src/analysis/risk_attribution.rs:346:41 [INFO] [stdout] | [INFO] [stdout] 346 | fn compute_residual_variance(&self, lambda: f64) -> Result { [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `create_default_factor_groups` is never used [INFO] [stdout] --> src/analysis/factor_config.rs:6:8 [INFO] [stdout] | [INFO] [stdout] 6 | pub fn create_default_factor_groups() -> Vec { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `create_pca_factor_groups` is never used [INFO] [stdout] --> src/analysis/factor_config.rs:108:8 [INFO] [stdout] | [INFO] [stdout] 108 | pub fn create_pca_factor_groups(n_factors: usize, tickers: &[String]) -> Vec { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `add_metadata` is never used [INFO] [stdout] --> src/analysis/factor_model.rs:54:8 [INFO] [stdout] | [INFO] [stdout] 30 | pub trait FactorModel { [INFO] [stdout] | ----------- method in this trait [INFO] [stdout] ... [INFO] [stdout] 54 | fn add_metadata(&mut self, key: &str, data: Array1); [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variant `InvalidDimensions` is never constructed [INFO] [stdout] --> src/analysis/orthogonalization.rs:9:5 [INFO] [stdout] | [INFO] [stdout] 7 | pub enum OrthogonalizationError { [INFO] [stdout] | ---------------------- variant in this enum [INFO] [stdout] 8 | #[error("Invalid data dimensions")] [INFO] [stdout] 9 | InvalidDimensions, [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `OrthogonalizationError` has a derived impl for the trait `Debug`, but this is intentionally ignored during dead code analysis [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: type alias `Result` is never used [INFO] [stdout] --> src/analysis/orthogonalization.rs:14:10 [INFO] [stdout] | [INFO] [stdout] 14 | pub type Result = std::result::Result; [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: field `max_correlation` is never read [INFO] [stdout] --> src/analysis/orthogonalization.rs:19:9 [INFO] [stdout] | [INFO] [stdout] 17 | pub struct FactorOrthogonalizer { [INFO] [stdout] | -------------------- field in this struct [INFO] [stdout] 18 | pub method: OrthogonalizationMethod, [INFO] [stdout] 19 | pub max_correlation: f64, [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `FactorOrthogonalizer` has a derived impl for the trait `Debug`, but this is intentionally ignored during dead code analysis [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `compute_factor_loadings` is never used [INFO] [stdout] --> src/analysis/risk_attribution.rs:378:8 [INFO] [stdout] | [INFO] [stdout] 46 | impl RiskAttributor { [INFO] [stdout] | -------------------------------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 378 | fn compute_factor_loadings( [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `get_factor_priority` is never used [INFO] [stdout] --> src/config/mod.rs:68:12 [INFO] [stdout] | [INFO] [stdout] 47 | impl Config { [INFO] [stdout] | ----------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 68 | pub fn get_factor_priority(&self) -> Vec { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `X` should have a snake case name [INFO] [stdout] --> src/analysis/risk_attribution.rs:415:36 [INFO] [stdout] | [INFO] [stdout] 415 | fn compute_regression_coefficients(X: ArrayView2, y: ArrayView1) -> Result> { [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `x` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `compute_factor_loadings` is never used [INFO] [stdout] --> src/analysis/risk_attribution.rs:378:8 [INFO] [stdout] | [INFO] [stdout] 46 | impl RiskAttributor { [INFO] [stdout] | -------------------------------------- method in this implementation [INFO] [stdout] ... [INFO] [stdout] 378 | fn compute_factor_loadings( [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `X` should have a snake case name [INFO] [stdout] --> src/analysis/risk_attribution.rs:415:36 [INFO] [stdout] | [INFO] [stdout] 415 | fn compute_regression_coefficients(X: ArrayView2, y: ArrayView1) -> Result> { [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `x` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 2.33s [INFO] running `Command { std: "docker" "inspect" "d32ab18beee1af9e647e0edeb635088217b23f0b4a35c706b66a26a532ab5514", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "d32ab18beee1af9e647e0edeb635088217b23f0b4a35c706b66a26a532ab5514", kill_on_drop: false }` [INFO] [stdout] d32ab18beee1af9e647e0edeb635088217b23f0b4a35c706b66a26a532ab5514 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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=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:b0b074c097205a61b89e8ad263052f976b2b332c4dc5f02aef1fe52501660d6e" "/opt/rustwide/cargo-home/bin/cargo" "+1.86.0" "test" "--frozen", kill_on_drop: false }` [INFO] [stdout] b6fa5997e29e3d47876b275088295112fcb2b651433c91ddbcf2bb104f88c636 [INFO] running `Command { std: "docker" "start" "-a" "b6fa5997e29e3d47876b275088295112fcb2b651433c91ddbcf2bb104f88c636", kill_on_drop: false }` [INFO] [stderr] warning: unused import: `Array2` [INFO] [stderr] --> src/analysis/factors.rs:1:26 [INFO] [stderr] | [INFO] [stderr] 1 | use ndarray::{s, Array1, Array2, ArrayView2, Axis}; [INFO] [stderr] | ^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused import: `Axis` [INFO] [stderr] --> src/analysis/orthogonalization.rs:2:58 [INFO] [stderr] | [INFO] [stderr] 2 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stderr] | ^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `FactorModelError` and `ThematicFactorModel` [INFO] [stderr] --> src/analysis/pca.rs:2:31 [INFO] [stderr] | [INFO] [stderr] 2 | FactorGroup, FactorModel, FactorModelError, Result as ModelResult, ThematicFactorModel, [INFO] [stderr] | ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `super::weighting::WeightingScheme` [INFO] [stderr] --> src/analysis/pca.rs:5:5 [INFO] [stderr] | [INFO] [stderr] 5 | use super::weighting::WeightingScheme; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `s` [INFO] [stderr] --> src/analysis/pca.rs:7:15 [INFO] [stderr] | [INFO] [stderr] 7 | use ndarray::{s, Array1, Array2, ArrayView2}; [INFO] [stderr] | ^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `Deserialize` and `Serialize` [INFO] [stderr] --> src/analysis/pca.rs:9:13 [INFO] [stderr] | [INFO] [stderr] 9 | use serde::{Deserialize, Serialize}; [INFO] [stderr] | ^^^^^^^^^^^ ^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `ThematicFactorModel` [INFO] [stderr] --> src/analysis/risk_attribution.rs:1:53 [INFO] [stderr] | [INFO] [stderr] 1 | use super::factor_model::{FactorGroup, FactorModel, ThematicFactorModel}; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `Axis` [INFO] [stderr] --> src/analysis/risk_attribution.rs:3:58 [INFO] [stderr] | [INFO] [stderr] 3 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stderr] | ^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `Axis` [INFO] [stderr] --> src/analysis/weighting.rs:1:58 [INFO] [stderr] | [INFO] [stderr] 1 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stderr] | ^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `ndarray_stats::QuantileExt` [INFO] [stderr] --> src/analysis/risk_attribution.rs:5:5 [INFO] [stderr] | [INFO] [stderr] 5 | use ndarray_stats::QuantileExt; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused variable: `tickers` [INFO] [stderr] --> src/analysis/pca.rs:48:9 [INFO] [stderr] | [INFO] [stderr] 48 | tickers: &[String], [INFO] [stderr] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tickers` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused variable: `n_periods` [INFO] [stderr] --> src/analysis/risk_attribution.rs:347:13 [INFO] [stderr] | [INFO] [stderr] 347 | let n_periods = self.returns.nrows(); [INFO] [stderr] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_n_periods` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `lambda` [INFO] [stderr] --> src/analysis/risk_attribution.rs:346:41 [INFO] [stderr] | [INFO] [stderr] 346 | fn compute_residual_variance(&self, lambda: f64) -> Result { [INFO] [stderr] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stderr] [INFO] [stderr] warning: method `compute_factor_loadings` is never used [INFO] [stderr] --> src/analysis/risk_attribution.rs:378:8 [INFO] [stderr] | [INFO] [stderr] 46 | impl RiskAttributor { [INFO] [stderr] | -------------------------------------- method in this implementation [INFO] [stderr] ... [INFO] [stderr] 378 | fn compute_factor_loadings( [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(dead_code)]` on by default [INFO] [stderr] [INFO] [stderr] warning: variable `X` should have a snake case name [INFO] [stderr] --> src/analysis/risk_attribution.rs:415:36 [INFO] [stderr] | [INFO] [stderr] 415 | fn compute_regression_coefficients(X: ArrayView2, y: ArrayView1) -> Result> { [INFO] [stderr] | ^ help: convert the identifier to snake case (notice the capitalization): `x` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(non_snake_case)]` on by default [INFO] [stderr] [INFO] [stderr] warning: `pythia` (lib) generated 15 warnings (run `cargo fix --lib -p pythia` to apply 9 suggestions) [INFO] [stderr] warning: unused import: `Axis` [INFO] [stderr] --> src/analysis/orthogonalization.rs:2:58 [INFO] [stderr] | [INFO] [stderr] 2 | use ndarray::{s, Array1, Array2, ArrayView1, ArrayView2, Axis}; [INFO] [stderr] | ^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused imports: `StatisticalFactorModel` and `orthogonalization::FactorOrthogonalizer` [INFO] [stderr] --> src/main.rs:8:5 [INFO] [stderr] | [INFO] [stderr] 8 | orthogonalization::FactorOrthogonalizer, [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] 9 | pca::{StatisticalFactorModel, PCA}, [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `types::OrthogonalizationMethod` [INFO] [stderr] --> src/main.rs:14:5 [INFO] [stderr] | [INFO] [stderr] 14 | use types::OrthogonalizationMethod; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: function `create_default_factor_groups` is never used [INFO] [stderr] --> src/analysis/factor_config.rs:6:8 [INFO] [stderr] | [INFO] [stderr] 6 | pub fn create_default_factor_groups() -> Vec { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(dead_code)]` on by default [INFO] [stderr] [INFO] [stderr] warning: function `create_pca_factor_groups` is never used [INFO] [stderr] --> src/analysis/factor_config.rs:108:8 [INFO] [stderr] | [INFO] [stderr] 108 | pub fn create_pca_factor_groups(n_factors: usize, tickers: &[String]) -> Vec { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: method `add_metadata` is never used [INFO] [stderr] --> src/analysis/factor_model.rs:54:8 [INFO] [stderr] | [INFO] [stderr] 30 | pub trait FactorModel { [INFO] [stderr] | ----------- method in this trait [INFO] [stderr] ... [INFO] [stderr] 54 | fn add_metadata(&mut self, key: &str, data: Array1); [INFO] [stderr] | ^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: variant `InvalidDimensions` is never constructed [INFO] [stderr] --> src/analysis/orthogonalization.rs:9:5 [INFO] [stderr] | [INFO] [stderr] 7 | pub enum OrthogonalizationError { [INFO] [stderr] | ---------------------- variant in this enum [INFO] [stderr] 8 | #[error("Invalid data dimensions")] [INFO] [stderr] 9 | InvalidDimensions, [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `OrthogonalizationError` has a derived impl for the trait `Debug`, but this is intentionally ignored during dead code analysis [INFO] [stderr] [INFO] [stderr] warning: type alias `Result` is never used [INFO] [stderr] --> src/analysis/orthogonalization.rs:14:10 [INFO] [stderr] | [INFO] [stderr] 14 | pub type Result = std::result::Result; [INFO] [stderr] | ^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: field `max_correlation` is never read [INFO] [stderr] --> src/analysis/orthogonalization.rs:19:9 [INFO] [stderr] | [INFO] [stderr] 17 | pub struct FactorOrthogonalizer { [INFO] [stderr] | -------------------- field in this struct [INFO] [stderr] 18 | pub method: OrthogonalizationMethod, [INFO] [stderr] 19 | pub max_correlation: f64, [INFO] [stderr] | ^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `FactorOrthogonalizer` has a derived impl for the trait `Debug`, but this is intentionally ignored during dead code analysis [INFO] [stderr] [INFO] [stderr] warning: method `compute_factor_loadings` is never used [INFO] [stderr] --> src/analysis/risk_attribution.rs:378:8 [INFO] [stderr] | [INFO] [stderr] 46 | impl RiskAttributor { [INFO] [stderr] | -------------------------------------- method in this implementation [INFO] [stderr] ... [INFO] [stderr] 378 | fn compute_factor_loadings( [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: method `get_factor_priority` is never used [INFO] [stderr] --> src/config/mod.rs:68:12 [INFO] [stderr] | [INFO] [stderr] 47 | impl Config { [INFO] [stderr] | ----------- method in this implementation [INFO] [stderr] ... [INFO] [stderr] 68 | pub fn get_factor_priority(&self) -> Vec { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: `pythia` (bin "pythia" test) generated 23 warnings (12 duplicates) (run `cargo fix --bin "pythia" --tests` to apply 3 suggestions) [INFO] [stderr] warning: `pythia` (lib test) generated 14 warnings (14 duplicates) [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 0.12s [INFO] [stderr] Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/pythia-bccc5be9167b0202) [INFO] [stdout] [INFO] [stdout] running 4 tests [INFO] [stdout] test analysis::factor_model::tests::test_thematic_factor_returns ... ok [INFO] [stdout] test analysis::factors::tests::test_momentum_factor ... ok [INFO] [stdout] test analysis::weighting::tests::test_equal_weight ... ok [INFO] [stdout] test analysis::weighting::tests::test_inverse_volatility_weight ... ok [INFO] [stdout] [INFO] [stdout] test result: ok. 4 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.01s [INFO] [stdout] [INFO] [stderr] Running unittests src/main.rs (/opt/rustwide/target/debug/deps/pythia-9db42e890d2d73ca) [INFO] [stdout] [INFO] [stdout] running 4 tests [INFO] [stdout] test analysis::weighting::tests::test_inverse_volatility_weight ... ok [INFO] [stdout] test analysis::factor_model::tests::test_thematic_factor_returns ... ok [INFO] [stdout] test analysis::weighting::tests::test_equal_weight ... ok [INFO] [stdout] test analysis::factors::tests::test_momentum_factor ... ok [INFO] [stdout] [INFO] [stdout] test result: ok. 4 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s [INFO] [stdout] [INFO] [stderr] Doc-tests pythia [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] running `Command { std: "docker" "inspect" "b6fa5997e29e3d47876b275088295112fcb2b651433c91ddbcf2bb104f88c636", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "b6fa5997e29e3d47876b275088295112fcb2b651433c91ddbcf2bb104f88c636", kill_on_drop: false }` [INFO] [stdout] b6fa5997e29e3d47876b275088295112fcb2b651433c91ddbcf2bb104f88c636