hcie-rust-v3.05/notlar.txt

cargo run -p hcie-wx-app --bin hcie-wx-app
cargo run --bin hcie-gui
cargo run --example gui
cargo run -p hcie-iced-gui
cargo build -p hcie-iced-gui --bin hcie-iced
scripts/cargo-with-build-id.sh run -p hcie-iced-gui
#######
criterion Benchmark
cargo bench -p hcie-engine-api

# Mevcut mükemmel performansı kalıcı bir baseline (referans) olarak kaydetmek için:
# (Not: Hata almamak için hcie-engine-api/Cargo.toml'da [lib] altına bench = false eklendi)
cargo bench -p hcie-engine-api -- --save-baseline gold_standard

# Kaydedilen 'gold_standard' baseline'ı ile karşılaştırma (regresyon testi) yapmak için:
cargo bench -p hcie-engine-api -- --baseline gold_standard

criterion.md


##test
Running the Tests Automatically
To run only the new proximity dedup tests:
cargo test -p hcie-iced-gui -- proximate

To run all cycle_one_ux_tests (including the new ones):
cargo test -p hcie-iced-gui -- cycle_one_ux_tests

###########
To run the FULL test suite for the iced GUI crate:
cargo test -p hcie-iced-gui

To watch tests and re-run on file changes, use:
cargo watch -x "test -p hcie-iced-gui -- proximate"

(Requires cargo install cargo-watch if not installed.)

To check compilation (without running tests):
cargo check -p hcie-iced-gui

I suggest adding a Makefile target or shell alias for quick invocation:

# ~/.bashrc or ~/.zshrc
alias ci-iced='cd /mnt/extra/00_PROJECTS/hcie-rust-v3.05 && cargo test -p hcie-iced-gui'
alias ci-iced-check='cd /mnt/extra/00_PROJECTS/hcie-rust-

##TAURI
npm komutunu proje kökünden değil, hcie-tauri-app/ altından çalıştırmalısın:

cd hcie-tauri-app
npm run tauri dev
veya proje kökünden:

npm --prefix hcie-tauri-app run tauri dev


# Semantic pre-commit kontrolü (hızlı)
python3 logs/generate_semantic_report.py --mode staged --no-api

# Semantic post-commit audit
python3 logs/generate_semantic_report.py --mode last --save

# Fonksiyonel regression testleri
CARGO=~/.cargo/bin/cargo logs/functional_regression_check.sh --fast

# Golden testleri çalıştır
~/.cargo/bin/cargo test -p hcie-engine-api --test visual_regression

# Golden hashleri yenile
HCIE_REGEN_GOLDENS=1 ~/.cargo/bin/cargo test -p hcie-engine-api --test visual_regression -- --nocapture

# --- FX MAE Grid Search (Photoshop PNG export sonrası) ---
# Inner shadow (MAE=10.05, uygulandı)
cargo run --release --example tune_mae_inner_shadow_fine -p hcie-io

# Drop shadow
cargo run --release --example tune_mae_drop_shadow_grid -p hcie-io

# Outer glow
cargo run --release --example tune_mae_outer_glow_grid -p hcie-io

# Inner glow
cargo run --release --example tune_mae_inner_glow_grid -p hcie-io

# Bevel & emboss
cargo run --release --example tune_mae_bevel_emboss_grid -p hcie-io

# Stroke (v1: square, MAE=8.69, uygulandı)
cargo run --release --example tune_mae_stroke_grid -p hcie-io

# Stroke (v2: asymmetric shapes)
cargo run --release --example tune_mae_stroke_v2_grid -p hcie-io

# --- FX PSD set generators ---
cargo run --example generate_drop_shadow_psd_set -p hcie-io
cargo run --example generate_outer_glow_psd_set -p hcie-io
cargo run --example generate_inner_glow_psd_set -p hcie-io
cargo run --example generate_bevel_emboss_psd_set -p hcie-io
cargo run --example generate_stroke_psd_set -p hcie-io
cargo run --example generate_stroke_v2_psd_set -p hcie-io

# --- Sonuç dosyaları ---
# inner_shadow_fine_results.txt
# drop_shadow_grid_results.txt
# outer_glow_grid_results.txt
# inner_glow_grid_results.txt
# bevel_emboss_grid_results.txt
# stroke_grid_results.txt
# stroke_v2_grid_results.txt



# Drop shadow (10 blur × 5 passes × 7 spread = 350 combos × ~768 samples = ~269k eval)
cargo run --release --example tune_mae_drop_shadow_grid -p hcie-io

# Outer glow (10 × 5 × 5 alpha × 6 boost × 2 spread_pos = 3000 combos × ~168 samples = ~504k eval)
cargo run --release --example tune_mae_outer_glow_grid -p hcie-io

# Inner glow (aynı outer glow)
cargo run --release --example tune_mae_inner_glow_grid -p hcie-io

# Bevel emboss (6 blur × 6 hl × 6 sh = 216 combos × ~192 samples = ~41k eval)
cargo run --release --example tune_mae_bevel_emboss_grid -p hcie-io

# Stroke (7 aa × 5 feather = 35 combos × ~48 samples = ~1.6k eval)
cargo run --release --example tune_mae_stroke_grid -p hcie-io

cargo run --release --example tune_mae_drop_shadow_grid -p hcie-io
cargo run --release --example tune_mae_outer_glow_grid -p hcie-io
cargo run --release --example tune_mae_inner_glow_grid -p hcie-io
cargo run --release --example tune_mae_stroke_grid -p hcie-io

=== 4K Multi-Layer Stroke Benchmark ===
Canvas: 3840x2160, Layers: 10, Segments: 100
Average stroke_to:          45.9 us
Max stroke_to:             115.0 us
Average composite:       19413.1 us
Max composite:          321762.0 us
Total wall time:          1953294.0 us (1.95 s)
Segments per second:        51.2
test benchmark_4k_stroke_on_multilayer_document ... ok