Files
tdkpin/tdkpin-rs
ddidderr 9de3dcc755 fix(game): restore original scoring and sound dispatch
The rewrite assigned one WAV resource to each logical event, which could not
represent the original call-site behavior. It played reserved WAV 2022 for
media awards, omitted multi-sound bank sequences, and used the wrong cues for
captures, bumpers, targets, nudges, and tilt.

Emit explicit sound-resource events at the reconstructed C control-flow sites
so logical rendering events no longer imply audio. Move media threshold
advancement into score addition, retain one threshold transition per call, and
use wrapping 32-bit score arithmetic. Restore the ninth-diamond 24,464-point
completion, the subsequent double-score activation, and later 100,000-point
secondary-score awards.

Test Plan:
- `cargo test --all-targets` -- passed, 53 tests
- `cargo clippy --all-targets -- -D warnings` -- passed
- `rumdl check CHANGELOG.md RECONSTRUCTION.md` -- passed
- `git diff --cached --check` -- passed
2026-08-23 16:48:41 +02:00
..
2026-08-22 15:52:52 +02:00
2026-08-22 15:52:52 +02:00
2026-08-22 15:52:52 +02:00
2026-08-22 15:52:52 +02:00
2026-08-22 15:52:52 +02:00

TDK Pinball Machine for modern PCs

This is a native Rust reconstruction of the 1995 Windows game TDK Pinball Machine. It uses the extracted original artwork and sound, recreates the playfield as a fixed-step simulation, and runs from the same source on Linux, macOS, and Windows.

The game opens at the original 640x460 canvas size and presents every artwork pixel one-for-one. The fixed, non-high-DPI client prevents desktop scaling from distorting or vertically offsetting the pixel-art presentation.

The original program is not required at runtime. All required game assets are embedded in the executable at build time.

Run

Install a current stable Rust toolchain, then run:

cargo run

For a distributable optimized binary:

cargo build --profile production

The binary is written below target/production/. On Linux, Macroquad's native development packages are also required (X11, OpenGL, and ALSA). Windows needs no extra runtime installation; macOS builds with the normal Apple developer command-line tools.

Deterministic mechanics validation

Named scenarios can be advanced without waiting in real time. The simulator uses exact 120 Hz steps, prints its final state as JSON, and can write both the complete step trace and the original-size 640x460 framebuffer:

cargo run -- --simulate claw-6 --at 0.15 \
  --trace /tmp/claw-6.json \
  --screenshot /tmp/claw-6.png

Use --step N instead of --at SECONDS to reproduce one exact update. The available scenarios are autoplay, launcher, flippers, claw-1, claw-6, claw-7, and claw-18; --seed N fixes random choices. autoplay charges each ball and operates the flippers from live ball position for long end-to-end validation runs.

Original and modern controls

Action Original key Additional modern key
Start game / add up to 4 players + = uses the same main-keyboard key
Charge launcher Hold Down arrow, release to launch -
Left flipper Left Ctrl A or Left arrow
Right flipper Keypad Enter Right Ctrl, D, or Right arrow
Nudge Space, either Shift, keypad 3 -
Help F1 Enter/Escape returns
Settings F2 -
High scores F3 -
Sound F12 -

The five original speed choices remain available in settings. Physics now uses the original invariant 100 Hz millipixel substep, and claw animation follows the recovered 50/40/30/20/10 ms timer choices. Setting-specific repaint batching remains a presentation-only reconstruction boundary.

The help screen is the original artwork in English, German, French, Italian, or Spanish. As instructed on that screen, double-clicking its upper-left exit box closes the program.

Saved data

Settings and the ten-entry high-score table are stored as save.json in the platform's normal per-user application-data directory. On first run, the table is imported from the original HISCORES.DAT included with this reconstruction.

Reconstruction status

This repository distinguishes exact recovered material from behavioral reimplementation. See RECONSTRUCTION.md for the evidence ledger, known inference boundaries, and validation performed.