AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入,將前往登入頁面。登入後請回到此處,再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify,即可驗證所有權並自行管理介紹。
一分鐘完成驗證正在載入完整 README。 以下為已儲存的摘錄。
rayTracer
my first crack at a rayTracer
Plain JavaScript modules: no build step, nothing to install to run it.
Run it
Browsers only load modules over http, so serve the folder and open the page:
The pieces
• ray-tracer.js — the entry: renderRayTracerInElement(id) draws the picture into the element with that id (this is what travish.com calls)
• lib/render.js — traces one ray per pixel into an RGBA array; needs no browser
• lib/scene.js — the camera, light, background and the four spheres
• lib/sphere.js, lib/vector.js, lib/color.js — the shapes and the math
Test
npm test檢視完整 README ↗my first crack at a rayTracer
Plain JavaScript modules: no build step, nothing to install to run it.
Browsers only load modules over http, so serve the folder and open the page:
python3 -m http.server 8000
# then open http://localhost:8000
ray-tracer.js — the entry: renderRayTracerInElement(id) draws the picture into the element with that id (this is what travish.com calls)lib/render.js — traces one ray per pixel into an RGBA array; needs no browserlib/scene.js — the camera, light, background and the four sphereslib/sphere.js, lib/vector.js, lib/color.js — the shapes and the mathnpm test
Includes a fingerprint of the whole 800×600 picture, so any change to the image fails the test.