[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 try#8de4c7234dd9b97c9d76b58671343fdbbc9a433e+target=x86_64-unknown-linux-musl for musl_upgrade_1_2_5_with_getrandom_patch_1 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fcavinsresearch%2Fpythia" "/workspace/builds/worker-0-tc1/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-0-tc1/source'... [INFO] [stderr] done. [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-0-tc1/source/Cargo.toml [INFO] validating manifest of git repo https://github.com/cavinsresearch/pythia on toolchain 8de4c7234dd9b97c9d76b58671343fdbbc9a433e [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate 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" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Downloading crates ... [INFO] [stderr] Downloaded ndarray-stats v0.5.1 [INFO] [stderr] Downloaded openblas-src v0.10.11 [INFO] [stderr] Downloaded ndarray-linalg v0.16.0 [INFO] [stderr] Downloaded once_cell v1.21.0 [INFO] [stderr] Downloaded openblas-build v0.10.11 [INFO] [stderr] Downloaded katexit v0.1.4 [INFO] [stderr] Downloaded lax v0.16.0 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-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@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 12439b6433308ec35b9704dfe4dd1e1c57f31e0d1065f691fe5ca5376204be84 [INFO] running `Command { std: "docker" "start" "-a" "12439b6433308ec35b9704dfe4dd1e1c57f31e0d1065f691fe5ca5376204be84", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "12439b6433308ec35b9704dfe4dd1e1c57f31e0d1065f691fe5ca5376204be84", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "12439b6433308ec35b9704dfe4dd1e1c57f31e0d1065f691fe5ca5376204be84", kill_on_drop: false }` [INFO] [stdout] 12439b6433308ec35b9704dfe4dd1e1c57f31e0d1065f691fe5ca5376204be84 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-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@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "build" "--frozen" "--message-format=json" "--target" "x86_64-unknown-linux-musl", kill_on_drop: false }` [INFO] [stdout] ab9b005a3eb766aa4fc8a58c7fce4d591d25fb9c645d780c5adcf51a31cdfccb [INFO] running `Command { std: "docker" "start" "-a" "ab9b005a3eb766aa4fc8a58c7fce4d591d25fb9c645d780c5adcf51a31cdfccb", kill_on_drop: false }` [INFO] [stderr] Compiling cc v1.2.16 [INFO] [stderr] Compiling syn v2.0.100 [INFO] [stderr] Compiling zerocopy v0.8.23 [INFO] [stderr] Compiling foreign-types-shared v0.1.1 [INFO] [stderr] Compiling openssl v0.10.64 [INFO] [stderr] Compiling openssl-probe v0.1.6 [INFO] [stderr] Compiling native-tls v0.2.11 [INFO] [stderr] Compiling once_cell v1.21.0 [INFO] [stderr] Compiling foreign-types v0.3.2 [INFO] [stderr] Compiling miniz_oxide v0.8.5 [INFO] [stderr] Compiling rustix v0.38.44 [INFO] [stderr] Compiling rustls-pemfile v2.2.0 [INFO] [stderr] Compiling log v0.4.26 [INFO] [stderr] Compiling rustls-native-certs v0.7.3 [INFO] [stderr] Compiling matrixmultiply v0.3.9 [INFO] [stderr] Compiling syn v1.0.109 [INFO] [stderr] Compiling flate2 v1.1.0 [INFO] [stderr] Compiling approx v0.4.0 [INFO] [stderr] Compiling num-integer v0.1.46 [INFO] [stderr] Compiling cblas-sys v0.1.4 [INFO] [stderr] Compiling lapack-sys v0.14.0 [INFO] [stderr] Compiling memchr v2.7.4 [INFO] [stderr] Compiling indexmap v2.8.0 [INFO] [stderr] Compiling noisy_float v0.2.0 [INFO] [stderr] Compiling csv-core v0.1.12 [INFO] [stderr] Compiling unsafe-libyaml v0.2.11 [INFO] [stderr] Compiling approx v0.5.1 [INFO] [stderr] Compiling openssl-sys v0.9.102 [INFO] [stderr] Compiling xattr v1.4.0 [INFO] [stderr] Compiling ppv-lite86 v0.2.21 [INFO] [stderr] Compiling tar v0.4.44 [INFO] [stderr] Compiling rand_chacha v0.3.1 [INFO] [stderr] Compiling rand v0.8.5 [INFO] [stderr] Compiling synstructure v0.13.1 [INFO] [stderr] Compiling zerofrom-derive v0.1.6 [INFO] [stderr] Compiling yoke-derive v0.7.5 [INFO] [stderr] Compiling zerovec-derive v0.10.3 [INFO] [stderr] Compiling displaydoc v0.2.5 [INFO] [stderr] Compiling icu_provider_macros v1.5.0 [INFO] [stderr] Compiling serde_derive v1.0.219 [INFO] [stderr] Compiling openssl-macros v0.1.1 [INFO] [stderr] Compiling thiserror-impl v2.0.12 [INFO] [stderr] Compiling thiserror-impl v1.0.69 [INFO] [stderr] Compiling katexit v0.1.4 [INFO] [stderr] Compiling zerofrom v0.1.6 [INFO] [stderr] Compiling yoke v0.7.5 [INFO] [stderr] Compiling zerovec v0.10.4 [INFO] [stderr] Compiling thiserror v2.0.12 [INFO] [stderr] Compiling thiserror v1.0.69 [INFO] [stderr] Compiling serde v1.0.219 [INFO] [stderr] Compiling tinystr v0.7.6 [INFO] [stderr] Compiling icu_collections v1.5.0 [INFO] [stderr] Compiling icu_locid v1.5.0 [INFO] [stderr] Compiling icu_provider v1.5.0 [INFO] [stderr] Compiling icu_locid_transform v1.5.0 [INFO] [stderr] Compiling icu_properties v1.5.1 [INFO] [stderr] Compiling num-complex v0.4.6 [INFO] [stderr] Compiling csv v1.3.1 [INFO] [stderr] Compiling chrono v0.4.40 [INFO] [stderr] Compiling serde_yaml v0.9.34+deprecated [INFO] [stderr] Compiling cauchy v0.4.0 [INFO] [stderr] Compiling ndarray v0.15.6 [INFO] [stderr] Compiling icu_normalizer v1.5.0 [INFO] [stderr] Compiling idna_adapter v1.2.0 [INFO] [stderr] Compiling idna v1.0.3 [INFO] [stderr] Compiling url v2.5.4 [INFO] [stderr] Compiling ndarray-stats v0.5.1 [INFO] [stderr] Compiling ureq v2.12.1 [INFO] [stderr] Compiling openblas-build v0.10.11 [INFO] [stderr] Compiling openblas-src v0.10.11 [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: field `metadata` is never read [INFO] [stdout] --> src/analysis/pca.rs:26:5 [INFO] [stdout] | [INFO] [stdout] 24 | pub struct StatisticalFactorModel { [INFO] [stdout] | ---------------------- field in this struct [INFO] [stdout] 25 | factor_groups: Vec, [INFO] [stdout] 26 | metadata: HashMap>, [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `StatisticalFactorModel` 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 1m 22s [INFO] running `Command { std: "docker" "inspect" "ab9b005a3eb766aa4fc8a58c7fce4d591d25fb9c645d780c5adcf51a31cdfccb", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "ab9b005a3eb766aa4fc8a58c7fce4d591d25fb9c645d780c5adcf51a31cdfccb", kill_on_drop: false }` [INFO] [stdout] ab9b005a3eb766aa4fc8a58c7fce4d591d25fb9c645d780c5adcf51a31cdfccb [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-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@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "test" "--frozen" "--no-run" "--message-format=json" "--target" "x86_64-unknown-linux-musl", kill_on_drop: false }` [INFO] [stdout] 37e7f6c97de5dda8644a01c04de07e8a87591abc4d96f2475e295853d541d292 [INFO] running `Command { std: "docker" "start" "-a" "37e7f6c97de5dda8644a01c04de07e8a87591abc4d96f2475e295853d541d292", 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] [stderr] Compiling pythia v0.1.0 (/opt/rustwide/workdir) [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: `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: `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: `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: `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: `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: field `metadata` is never read [INFO] [stdout] --> src/analysis/pca.rs:26:5 [INFO] [stdout] | [INFO] [stdout] 24 | pub struct StatisticalFactorModel { [INFO] [stdout] | ---------------------- field in this struct [INFO] [stdout] 25 | factor_groups: Vec, [INFO] [stdout] 26 | metadata: HashMap>, [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `StatisticalFactorModel` 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 3.54s [INFO] running `Command { std: "docker" "inspect" "37e7f6c97de5dda8644a01c04de07e8a87591abc4d96f2475e295853d541d292", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "37e7f6c97de5dda8644a01c04de07e8a87591abc4d96f2475e295853d541d292", kill_on_drop: false }` [INFO] [stdout] 37e7f6c97de5dda8644a01c04de07e8a87591abc4d96f2475e295853d541d292 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-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@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+8de4c7234dd9b97c9d76b58671343fdbbc9a433e" "test" "--frozen" "--target" "x86_64-unknown-linux-musl", kill_on_drop: false }` [INFO] [stdout] d78f895aea93674d9ce2d32156f4957a98c6448050ed0fe8855e03c2982e031b [INFO] running `Command { std: "docker" "start" "-a" "d78f895aea93674d9ce2d32156f4957a98c6448050ed0fe8855e03c2982e031b", 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: field `metadata` is never read [INFO] [stderr] --> src/analysis/pca.rs:26:5 [INFO] [stderr] | [INFO] [stderr] 24 | pub struct StatisticalFactorModel { [INFO] [stderr] | ---------------------- field in this struct [INFO] [stderr] 25 | factor_groups: Vec, [INFO] [stderr] 26 | metadata: HashMap>, [INFO] [stderr] | ^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `StatisticalFactorModel` 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 24 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 0.17s [INFO] [stdout] [INFO] [stdout] running 4 tests [INFO] [stdout] test analysis::factors::tests::test_momentum_factor ... ok [INFO] [stdout] test analysis::weighting::tests::test_equal_weight ... ok [INFO] [stdout] test analysis::factor_model::tests::test_thematic_factor_returns ... ok [INFO] [stdout] test analysis::weighting::tests::test_inverse_volatility_weight ... ok [INFO] [stderr] Running unittests src/lib.rs (/opt/rustwide/target/x86_64-unknown-linux-musl/debug/deps/pythia-065c2c2f76172fa2) [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] [stdout] [INFO] [stdout] running 4 tests [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] test analysis::factor_model::tests::test_thematic_factor_returns ... 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] Running unittests src/main.rs (/opt/rustwide/target/x86_64-unknown-linux-musl/debug/deps/pythia-0169c15752725978) [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" "d78f895aea93674d9ce2d32156f4957a98c6448050ed0fe8855e03c2982e031b", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "d78f895aea93674d9ce2d32156f4957a98c6448050ed0fe8855e03c2982e031b", kill_on_drop: false }` [INFO] [stdout] d78f895aea93674d9ce2d32156f4957a98c6448050ed0fe8855e03c2982e031b