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141 lines
4.8 KiB
Plaintext
Executable File
141 lines
4.8 KiB
Plaintext
Executable File
cargo run -p hcie-wx-app --bin hcie-wx-app
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cargo run --bin hcie-gui
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cargo run --example gui
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cargo run -p hcie-iced-gui
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cargo build -p hcie-iced-gui --bin hcie-iced
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scripts/cargo-with-build-id.sh run -p hcie-iced-gui
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#######
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criterion Benchmark
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cargo bench -p hcie-engine-api
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# Mevcut mükemmel performansı kalıcı bir baseline (referans) olarak kaydetmek için:
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# (Not: Hata almamak için hcie-engine-api/Cargo.toml'da [lib] altına bench = false eklendi)
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cargo bench -p hcie-engine-api -- --save-baseline gold_standard
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# Kaydedilen 'gold_standard' baseline'ı ile karşılaştırma (regresyon testi) yapmak için:
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cargo bench -p hcie-engine-api -- --baseline gold_standard
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criterion.md
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##test
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Running the Tests Automatically
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To run only the new proximity dedup tests:
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cargo test -p hcie-iced-gui -- proximate
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To run all cycle_one_ux_tests (including the new ones):
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cargo test -p hcie-iced-gui -- cycle_one_ux_tests
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###########
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To run the FULL test suite for the iced GUI crate:
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cargo test -p hcie-iced-gui
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To watch tests and re-run on file changes, use:
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cargo watch -x "test -p hcie-iced-gui -- proximate"
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(Requires cargo install cargo-watch if not installed.)
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To check compilation (without running tests):
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cargo check -p hcie-iced-gui
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I suggest adding a Makefile target or shell alias for quick invocation:
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# ~/.bashrc or ~/.zshrc
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alias ci-iced='cd /mnt/extra/00_PROJECTS/hcie-rust-v3.05 && cargo test -p hcie-iced-gui'
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alias ci-iced-check='cd /mnt/extra/00_PROJECTS/hcie-rust-
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##TAURI
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npm komutunu proje kökünden değil, hcie-tauri-app/ altından çalıştırmalısın:
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cd hcie-tauri-app
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npm run tauri dev
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veya proje kökünden:
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npm --prefix hcie-tauri-app run tauri dev
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# Semantic pre-commit kontrolü (hızlı)
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python3 logs/generate_semantic_report.py --mode staged --no-api
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# Semantic post-commit audit
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python3 logs/generate_semantic_report.py --mode last --save
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# Fonksiyonel regression testleri
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CARGO=~/.cargo/bin/cargo logs/functional_regression_check.sh --fast
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# Golden testleri çalıştır
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~/.cargo/bin/cargo test -p hcie-engine-api --test visual_regression
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# Golden hashleri yenile
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HCIE_REGEN_GOLDENS=1 ~/.cargo/bin/cargo test -p hcie-engine-api --test visual_regression -- --nocapture
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# --- FX MAE Grid Search (Photoshop PNG export sonrası) ---
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# Inner shadow (MAE=10.05, uygulandı)
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cargo run --release --example tune_mae_inner_shadow_fine -p hcie-io
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# Drop shadow
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cargo run --release --example tune_mae_drop_shadow_grid -p hcie-io
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# Outer glow
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cargo run --release --example tune_mae_outer_glow_grid -p hcie-io
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# Inner glow
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cargo run --release --example tune_mae_inner_glow_grid -p hcie-io
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# Bevel & emboss
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cargo run --release --example tune_mae_bevel_emboss_grid -p hcie-io
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# Stroke (v1: square, MAE=8.69, uygulandı)
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cargo run --release --example tune_mae_stroke_grid -p hcie-io
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# Stroke (v2: asymmetric shapes)
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cargo run --release --example tune_mae_stroke_v2_grid -p hcie-io
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# --- FX PSD set generators ---
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cargo run --example generate_drop_shadow_psd_set -p hcie-io
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cargo run --example generate_outer_glow_psd_set -p hcie-io
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cargo run --example generate_inner_glow_psd_set -p hcie-io
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cargo run --example generate_bevel_emboss_psd_set -p hcie-io
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cargo run --example generate_stroke_psd_set -p hcie-io
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cargo run --example generate_stroke_v2_psd_set -p hcie-io
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# --- Sonuç dosyaları ---
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# inner_shadow_fine_results.txt
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# drop_shadow_grid_results.txt
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# outer_glow_grid_results.txt
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# inner_glow_grid_results.txt
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# bevel_emboss_grid_results.txt
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# stroke_grid_results.txt
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# stroke_v2_grid_results.txt
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# Drop shadow (10 blur × 5 passes × 7 spread = 350 combos × ~768 samples = ~269k eval)
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cargo run --release --example tune_mae_drop_shadow_grid -p hcie-io
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# Outer glow (10 × 5 × 5 alpha × 6 boost × 2 spread_pos = 3000 combos × ~168 samples = ~504k eval)
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cargo run --release --example tune_mae_outer_glow_grid -p hcie-io
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# Inner glow (aynı outer glow)
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cargo run --release --example tune_mae_inner_glow_grid -p hcie-io
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# Bevel emboss (6 blur × 6 hl × 6 sh = 216 combos × ~192 samples = ~41k eval)
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cargo run --release --example tune_mae_bevel_emboss_grid -p hcie-io
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# Stroke (7 aa × 5 feather = 35 combos × ~48 samples = ~1.6k eval)
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cargo run --release --example tune_mae_stroke_grid -p hcie-io
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cargo run --release --example tune_mae_drop_shadow_grid -p hcie-io
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cargo run --release --example tune_mae_outer_glow_grid -p hcie-io
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cargo run --release --example tune_mae_inner_glow_grid -p hcie-io
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cargo run --release --example tune_mae_stroke_grid -p hcie-io
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=== 4K Multi-Layer Stroke Benchmark ===
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Canvas: 3840x2160, Layers: 10, Segments: 100
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Average stroke_to: 45.9 us
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Max stroke_to: 115.0 us
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Average composite: 19413.1 us
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Max composite: 321762.0 us
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Total wall time: 1953294.0 us (1.95 s)
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Segments per second: 51.2
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test benchmark_4k_stroke_on_multilayer_document ... ok |