[INFO] cloning repository https://github.com/TsiaohanWang/my-machine-learning [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/TsiaohanWang/my-machine-learning" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FTsiaohanWang%2Fmy-machine-learning", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FTsiaohanWang%2Fmy-machine-learning'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] 801ceae01bdce000632b91e7fd05d283dc44ad36 [INFO] checking TsiaohanWang/my-machine-learning against try#22cc29ba5b459fb386c0406b9baf3a49eb0fba39 for pr-146095 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FTsiaohanWang%2Fmy-machine-learning" "/workspace/builds/worker-6-tc2/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-6-tc2/source'... [INFO] [stderr] done. [INFO] started tweaking git repo https://github.com/TsiaohanWang/my-machine-learning [INFO] finished tweaking git repo https://github.com/TsiaohanWang/my-machine-learning [INFO] tweaked toml for git repo https://github.com/TsiaohanWang/my-machine-learning written to /workspace/builds/worker-6-tc2/source/Cargo.toml [INFO] validating manifest of git repo https://github.com/TsiaohanWang/my-machine-learning on toolchain 22cc29ba5b459fb386c0406b9baf3a49eb0fba39 [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+22cc29ba5b459fb386c0406b9baf3a49eb0fba39" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate git repo https://github.com/TsiaohanWang/my-machine-learning 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" "+22cc29ba5b459fb386c0406b9baf3a49eb0fba39" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:aa71247004a7fa38d13ec170f48f06cdedf5bc50b2a8645e56ed7e992e6fa513" "/opt/rustwide/cargo-home/bin/cargo" "+22cc29ba5b459fb386c0406b9baf3a49eb0fba39" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 409336d084799fbf381e736e3c1779a1148791d028f0d5ac90a0524f392d35d2 [INFO] running `Command { std: "docker" "start" "-a" "409336d084799fbf381e736e3c1779a1148791d028f0d5ac90a0524f392d35d2", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "409336d084799fbf381e736e3c1779a1148791d028f0d5ac90a0524f392d35d2", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "409336d084799fbf381e736e3c1779a1148791d028f0d5ac90a0524f392d35d2", kill_on_drop: false }` [INFO] [stdout] 409336d084799fbf381e736e3c1779a1148791d028f0d5ac90a0524f392d35d2 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-6-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=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:aa71247004a7fa38d13ec170f48f06cdedf5bc50b2a8645e56ed7e992e6fa513" "/opt/rustwide/cargo-home/bin/cargo" "+22cc29ba5b459fb386c0406b9baf3a49eb0fba39" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 732a3a3139762d3c3de4a82f97bbb2d8ef826711cb72d82b00c9354b03dc5eac [INFO] running `Command { std: "docker" "start" "-a" "732a3a3139762d3c3de4a82f97bbb2d8ef826711cb72d82b00c9354b03dc5eac", kill_on_drop: false }` [INFO] [stderr] Compiling num-traits v0.2.19 [INFO] [stderr] Compiling cc v1.2.41 [INFO] [stderr] Checking crc32fast v1.5.0 [INFO] [stderr] Checking getrandom v0.3.3 [INFO] [stderr] Checking dirs-sys v0.5.0 [INFO] [stderr] Checking gif v0.12.0 [INFO] [stderr] Checking yeslogic-fontconfig-sys v6.0.0 [INFO] [stderr] Checking pathfinder_geometry v0.5.1 [INFO] [stderr] Checking dirs v6.0.0 [INFO] [stderr] Checking flate2 v1.1.4 [INFO] [stderr] Checking rand_core v0.9.3 [INFO] [stderr] Checking rand_chacha v0.9.0 [INFO] [stderr] Checking rand v0.9.2 [INFO] [stderr] Checking png v0.17.16 [INFO] [stderr] Checking chrono v0.4.42 [INFO] [stderr] Checking rand_distr v0.5.1 [INFO] [stderr] Compiling freetype-sys v0.20.1 [INFO] [stderr] Checking image v0.24.9 [INFO] [stderr] Compiling font-kit v0.14.3 [INFO] [stderr] Checking plotters-bitmap v0.3.7 [INFO] [stderr] Checking plotters v0.3.7 [INFO] [stderr] Checking my_machine_learning v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `plotters::data` [INFO] [stdout] --> src/pseudo_dataset/pdg.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use plotters::data; [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `plotters::data` [INFO] [stdout] --> src/pseudo_dataset/pdg.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use plotters::data; [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `w_slope` is never read [INFO] [stdout] --> src/linear_regression/model.rs:78:32 [INFO] [stdout] | [INFO] [stdout] 78 | let mut w_slope: f64 = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `b_slope` is never read [INFO] [stdout] --> src/linear_regression/model.rs:79:32 [INFO] [stdout] | [INFO] [stdout] 79 | let mut b_slope: f64 = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `w_slope` is never read [INFO] [stdout] --> src/logistic_regression/model.rs:96:32 [INFO] [stdout] | [INFO] [stdout] 96 | let mut w_slope: f64 = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `b_slope` is never read [INFO] [stdout] --> src/logistic_regression/model.rs:97:32 [INFO] [stdout] | [INFO] [stdout] 97 | let mut b_slope: f64 = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/visualization/curve.rs:102:9 [INFO] [stdout] | [INFO] [stdout] 102 | for i in 0..iteration { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: methods `precision` and `f1_score` are never used [INFO] [stdout] --> src/classification/model.rs:151:8 [INFO] [stdout] | [INFO] [stdout] 14 | impl ConfusMatrix1D { [INFO] [stdout] | ------------------- methods in this implementation [INFO] [stdout] ... [INFO] [stdout] 151 | fn precision(&self) -> f64 { [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 158 | fn f1_score(&self) -> f64 { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `EMPTY` is never used [INFO] [stdout] --> src/visualization/curve.rs:56:11 [INFO] [stdout] | [INFO] [stdout] 56 | const EMPTY: char = ' '; [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/visualization/curve.rs:151:9 [INFO] [stdout] | [INFO] [stdout] 151 | write_char_at(2, line, V_AXIS); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 151 | let _ = write_char_at(2, line, V_AXIS); [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/visualization/curve.rs:154:9 [INFO] [stdout] | [INFO] [stdout] 154 | write_char_at(col, iteration + 1, H_AXIS); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 154 | let _ = write_char_at(col, iteration + 1, H_AXIS); [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/visualization/curve.rs:156:13 [INFO] [stdout] | [INFO] [stdout] 156 | write_char_at(col, iteration + 1, ORIGIN); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 156 | let _ = write_char_at(col, iteration + 1, ORIGIN); [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/visualization/curve.rs:160:9 [INFO] [stdout] | [INFO] [stdout] 160 | write_char_at(px + 2, iteration + 1 - py, POINT); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 160 | let _ = write_char_at(px + 2, iteration + 1 - py, POINT); [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `my_machine_learning::linear_regression::LinrRegModel` [INFO] [stdout] --> src/main.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use my_machine_learning::linear_regression::LinrRegModel; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `my_machine_learning::visualization::Precision` [INFO] [stdout] --> src/main.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use my_machine_learning::visualization::Precision; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `classification::model::ConfusMatrix1D` [INFO] [stdout] --> src/main.rs:6:27 [INFO] [stdout] | [INFO] [stdout] 6 | use my_machine_learning::{classification::model::ConfusMatrix1D, pseudo_dataset::pdg}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Normal` [INFO] [stdout] --> src/main.rs:10:32 [INFO] [stdout] | [INFO] [stdout] 10 | use rand_distr::{Distribution, Normal}; // Normal 和 Distribution 现在来自 rand_distr [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Distribution` [INFO] [stdout] --> src/main.rs:10:18 [INFO] [stdout] | [INFO] [stdout] 10 | use rand_distr::{Distribution, Normal}; // Normal 和 Distribution 现在来自 rand_distr [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `plot_roc_curve` is never used [INFO] [stdout] --> src/main.rs:13:4 [INFO] [stdout] | [INFO] [stdout] 13 | fn plot_roc_curve( [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `my_machine_learning::linear_regression::LinrRegModel` [INFO] [stdout] --> src/main.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use my_machine_learning::linear_regression::LinrRegModel; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `my_machine_learning::visualization::Precision` [INFO] [stdout] --> src/main.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | use my_machine_learning::visualization::Precision; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `classification::model::ConfusMatrix1D` [INFO] [stdout] --> src/main.rs:6:27 [INFO] [stdout] | [INFO] [stdout] 6 | use my_machine_learning::{classification::model::ConfusMatrix1D, pseudo_dataset::pdg}; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Normal` [INFO] [stdout] --> src/main.rs:10:32 [INFO] [stdout] | [INFO] [stdout] 10 | use rand_distr::{Distribution, Normal}; // Normal 和 Distribution 现在来自 rand_distr [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Distribution` [INFO] [stdout] --> src/main.rs:10:18 [INFO] [stdout] | [INFO] [stdout] 10 | use rand_distr::{Distribution, Normal}; // Normal 和 Distribution 现在来自 rand_distr [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `plot_roc_curve` is never used [INFO] [stdout] --> src/main.rs:13:4 [INFO] [stdout] | [INFO] [stdout] 13 | fn plot_roc_curve( [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `w_slope` is never read [INFO] [stdout] --> src/linear_regression/model.rs:78:32 [INFO] [stdout] | [INFO] [stdout] 78 | let mut w_slope: f64 = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `b_slope` is never read [INFO] [stdout] --> src/linear_regression/model.rs:79:32 [INFO] [stdout] | [INFO] [stdout] 79 | let mut b_slope: f64 = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `w_slope` is never read [INFO] [stdout] --> src/logistic_regression/model.rs:96:32 [INFO] [stdout] | [INFO] [stdout] 96 | let mut w_slope: f64 = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: value assigned to `b_slope` is never read [INFO] [stdout] --> src/logistic_regression/model.rs:97:32 [INFO] [stdout] | [INFO] [stdout] 97 | let mut b_slope: f64 = 0.0; [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = help: maybe it is overwritten before being read? [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/visualization/curve.rs:102:9 [INFO] [stdout] | [INFO] [stdout] 102 | for i in 0..iteration { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: methods `precision` and `f1_score` are never used [INFO] [stdout] --> src/classification/model.rs:151:8 [INFO] [stdout] | [INFO] [stdout] 14 | impl ConfusMatrix1D { [INFO] [stdout] | ------------------- methods in this implementation [INFO] [stdout] ... [INFO] [stdout] 151 | fn precision(&self) -> f64 { [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 158 | fn f1_score(&self) -> f64 { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant `EMPTY` is never used [INFO] [stdout] --> src/visualization/curve.rs:56:11 [INFO] [stdout] | [INFO] [stdout] 56 | const EMPTY: char = ' '; [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/visualization/curve.rs:151:9 [INFO] [stdout] | [INFO] [stdout] 151 | write_char_at(2, line, V_AXIS); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] = note: `#[warn(unused_must_use)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 151 | let _ = write_char_at(2, line, V_AXIS); [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/visualization/curve.rs:154:9 [INFO] [stdout] | [INFO] [stdout] 154 | write_char_at(col, iteration + 1, H_AXIS); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 154 | let _ = write_char_at(col, iteration + 1, H_AXIS); [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/visualization/curve.rs:156:13 [INFO] [stdout] | [INFO] [stdout] 156 | write_char_at(col, iteration + 1, ORIGIN); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 156 | let _ = write_char_at(col, iteration + 1, ORIGIN); [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/visualization/curve.rs:160:9 [INFO] [stdout] | [INFO] [stdout] 160 | write_char_at(px + 2, iteration + 1 - py, POINT); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] help: use `let _ = ...` to ignore the resulting value [INFO] [stdout] | [INFO] [stdout] 160 | let _ = write_char_at(px + 2, iteration + 1 - py, POINT); [INFO] [stdout] | +++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 5.98s [INFO] running `Command { std: "docker" "inspect" "732a3a3139762d3c3de4a82f97bbb2d8ef826711cb72d82b00c9354b03dc5eac", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "732a3a3139762d3c3de4a82f97bbb2d8ef826711cb72d82b00c9354b03dc5eac", kill_on_drop: false }` [INFO] [stdout] 732a3a3139762d3c3de4a82f97bbb2d8ef826711cb72d82b00c9354b03dc5eac