text • Lines: 21{"reason":"compiler-message","package_id":"path+file:///home/palash/git/build-your-own-nn#0.1.0","manifest_path":"/home/palash/git/build-your-own-nn/Cargo.toml","target":{"kind":["lib"],"crate_types":["lib"],"name":"build_your_own_nn","src_path":"/home/palash/git/build-your-own-nn/src/lib.rs","edition":"2024","doc":true,"doctest":true,"test":true},"message":{"$message_type":"diagnostic","message":"unused import: `render_plot`","code":{"code":"unused_imports","explanation":null},"level":"warning","spans":[{"file_name":"src/examples/neural_network_xor_animated.rs","byte_start":130,"byte_end":141,"line_start":4,"line_end":4,"column_start":56,"column_end":67,"is_primary":true,"text":[{"text":" image_utils::{PlotColor, Trace, render_dual_plots, render_plot},","highlight_start":56,"highlight_end":67}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null}],"children":[{"message":"`#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default","code":null,"level":"note","spans":[],"children":[],"rendered":null},{"message":"remove the unused import","code":null,"level":"help","spans":[{"file_name":"src/examples/neural_network_xor_animated.rs","byte_start":128,"byte_end":141,"line_start":4,"line_end":4,"column_start":54,"column_end":67,"is_primary":true,"text":[{"text":" image_utils::{PlotColor, Trace, render_dual_plots, render_plot},","highlight_start":54,"highlight_end":67}],"label":null,"suggested_replacement":"","suggestion_applicability":"MachineApplicable","expansion":null}],"children":[],"rendered":null}],"rendered":"\u001b[1m\u001b[33mwarning\u001b[0m\u001b[1m: unused import: `render_plot`\u001b[0m\n \u001b[1m\u001b[94m--> \u001b[0msrc/examples/neural_network_xor_animated.rs:4:56\n \u001b[1m\u001b[94m|\u001b[0m\n\u001b[1m\u001b[94m4\u001b[0m \u001b[1m\u001b[94m|\u001b[0m image_utils::{PlotColor, Trace, render_dual_plots, render_plot},\n \u001b[1m\u001b[94m|\u001b[0m \u001b[1m\u001b[33m^^^^^^^^^^^\u001b[0m\n \u001b[1m\u001b[94m|\u001b[0m\n \u001b[1m\u001b[94m= \u001b[0m\u001b[1mnote\u001b[0m: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default\n\n"}}
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{"reason":"compiler-message","package_id":"path+file:///home/palash/git/build-your-own-nn#0.1.0","manifest_path":"/home/palash/git/build-your-own-nn/Cargo.toml","target":{"kind":["lib"],"crate_types":["lib"],"name":"build_your_own_nn","src_path":"/home/palash/git/build-your-own-nn/src/lib.rs","edition":"2024","doc":true,"doctest":true,"test":true},"message":{"$message_type":"diagnostic","message":"unused import: `fmt::format`","code":{"code":"unused_imports","explanation":null},"level":"warning","spans":[{"file_name":"src/examples/neural_network_xor_animated.rs","byte_start":266,"byte_end":277,"line_start":10,"line_end":10,"column_start":11,"column_end":22,"is_primary":true,"text":[{"text":"use std::{fmt::format, thread};","highlight_start":11,"highlight_end":22}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null}],"children":[{"message":"remove the unused import","code":null,"level":"help","spans":[{"file_name":"src/examples/neural_network_xor_animated.rs","byte_start":266,"byte_end":279,"line_start":10,"line_end":10,"column_start":11,"column_end":24,"is_primary":true,"text":[{"text":"use std::{fmt::format, thread};","highlight_start":11,"highlight_end":24}],"label":null,"suggested_replacement":"","suggestion_applicability":"MachineApplicable","expansion":null},{"file_name":"src/examples/neural_network_xor_animated.rs","byte_start":265,"byte_end":266,"line_start":10,"line_end":10,"column_start":10,"column_end":11,"is_primary":true,"text":[{"text":"use std::{fmt::format, thread};","highlight_start":10,"highlight_end":11}],"label":null,"suggested_replacement":"","suggestion_applicability":"MachineApplicable","expansion":null},{"file_name":"src/examples/neural_network_xor_animated.rs","byte_start":285,"byte_end":286,"line_start":10,"line_end":10,"column_start":30,"column_end":31,"is_primary":true,"text":[{"text":"use std::{fmt::format, thread};","highlight_start":30,"highlight_end":31}],"label":null,"suggested_replacement":"","suggestion_applicability":"MachineApplicable","expansion":null}],"children":[],"rendered":null}],"rendered":"\u001b[1m\u001b[33mwarning\u001b[0m\u001b[1m: unused import: `fmt::format`\u001b[0m\n \u001b[1m\u001b[94m--> \u001b[0msrc/examples/neural_network_xor_animated.rs:10:11\n \u001b[1m\u001b[94m|\u001b[0m\n\u001b[1m\u001b[94m10\u001b[0m \u001b[1m\u001b[94m|\u001b[0m use std::{fmt::format, thread};\n \u001b[1m\u001b[94m|\u001b[0m \u001b[1m\u001b[33m^^^^^^^^^^^\u001b[0m\n\n"}}
{"reason":"compiler-message","package_id":"path+file:///home/palash/git/build-your-own-nn#0.1.0","manifest_path":"/home/palash/git/build-your-own-nn/Cargo.toml","target":{"kind":["lib"],"crate_types":["lib"],"name":"build_your_own_nn","src_path":"/home/palash/git/build-your-own-nn/src/lib.rs","edition":"2024","doc":true,"doctest":true,"test":true},"message":{"$message_type":"diagnostic","message":"unused variable: `plot_w`","code":{"code":"unused_variables","explanation":null},"level":"warning","spans":[{"file_name":"src/image_utils.rs","byte_start":4197,"byte_end":4203,"line_start":155,"line_end":155,"column_start":9,"column_end":15,"is_primary":true,"text":[{"text":" let plot_w = width - margin_l - 2;","highlight_start":9,"highlight_end":15}],"label":null,"suggested_replacement":null,"suggestion_applicability":null,"expansion":null}],"children":[{"message":"`#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default","code":null,"level":"note","spans":[],"children":[],"rendered":null},{"message":"if this is intentional, prefix it with an underscore","code":null,"level":"help","spans":[{"file_name":"src/image_utils.rs","byte_start":4197,"byte_end":4203,"line_start":155,"line_end":155,"column_start":9,"column_end":15,"is_primary":true,"text":[{"text":" let plot_w = width - margin_l - 2;","highlight_start":9,"highlight_end":15}],"label":null,"suggested_replacement":"_plot_w","suggestion_applicability":"MachineApplicable","expansion":null}],"children":[],"rendered":null}],"rendered":"\u001b[1m\u001b[33mwarning\u001b[0m\u001b[1m: unused variable: `plot_w`\u001b[0m\n \u001b[1m\u001b[94m--> \u001b[0msrc/image_utils.rs:155:9\n \u001b[1m\u001b[94m|\u001b[0m\n\u001b[1m\u001b[94m155\u001b[0m \u001b[1m\u001b[94m|\u001b[0m let plot_w = width - margin_l - 2;\n \u001b[1m\u001b[94m|\u001b[0m \u001b[1m\u001b[33m^^^^^^\u001b[0m \u001b[1m\u001b[33mhelp: if this is intentional, prefix it with an underscore: `_plot_w`\u001b[0m\n \u001b[1m\u001b[94m|\u001b[0m\n \u001b[1m\u001b[94m= \u001b[0m\u001b[1mnote\u001b[0m: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default\n\n"}}
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