| /** | |
| * ADP Payslip Bulk Downloader | |
| * | |
| * WARNING: | |
| * Running this script will automatically click ALL visible | |
| * PayDate and Pay Advices buttons on the current ADP page. | |
| * | |
| * Depending on your browser configuration: | |
| * - Multiple files may be downloaded automatically. | |
| * - PDF files may open in a new browser tab. |
| name | japanese-tech-writing |
|---|---|
| description | 日本語の技術文書・書籍原稿の文章規範。段落と論証の構成（パラグラフライティング）、論証の厳密さ（ツッコミどころの除去）、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、翻訳調の比喩と擬人化の禁止（「運ぶ」「効く」「開かれた問い」など）、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。 |
| license | Unlicense（https://gist.github.com/k16shikano/67625f2a7d96e3bbdfae8d571a936063） |
日本語で技術的な原稿（書籍の章、記事、解説文）を書く・推敲するときは、以下の規範に従う。
| Visual Studio 2026 18.x | |
| Professional: NVTDK-QB8J9-M28GR-92BPC-BTHXK | |
| Enterprise: VYGRN-WPR22-HG4X3-692BF-QGT2V | |
| Product Year Version Product Keys | |
| Visual Studio 2022 2021 17.x | |
| Professional: TD244-P4NB7-YQ6XK-Y8MMM-YWV2J | |
| Enterprise: VHF9H-NXBBB-638P6-6JHCY-88JWH | |
| Visual Studio 2019 2019 16.x |
| # UPDATE | |
| There have now been a couple projects that have streamlined the setup process. I was able to successfully boot the game and | |
| link my Microsoft account using this repo: https://github.com/Alextibtab/Dungeons2_linux_fix | |
| If it doesn't prompt you to link account, you can do so from the settings menu. | |
| # Older Steps below: | |
| This is based on the findings in the Proton issue thread, neatly summarised in this comment: https://github.com/ValveSoftware/Proton/issues/10193#issuecomment-5889733180 |
| # AWS Version 4 signing example | |
| # | |
| # Example: | |
| # Authorization: AWS4-HMAC-SHA256 Credential=AKIDEXAMPLE/20150830/us-east-1/iam/aws4_request, SignedHeaders=content-type;host;x-amz-date, Signature=5d672d79c15b13162d9279b0855cfba6789a8edb4c82c400e06b5924a6f2b5d7 | |
| # Formulae: | |
| # CanonicalRequest = | |
| # HTTPRequestMethod + '\n' + | |
| # CanonicalURI + '\n' + | |
| # CanonicalQueryString + '\n' + |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| int main(){SDL_Init(SDL_INIT_VIDEO); | |
| void*window=SDL_CreateWindow("Hello Triangle", 800, 600, SDL_WINDOW_VULKAN),*instanceExtensions,*instanceExtensionCount=new uint32_t,*queueFamily=new uint32_t,*imageIndex=new uint32_t,*count=new uint32_t,*queueFamilies,*formats,*images,*instance,*surface,*physicalDevice,*device,*queue,*swapchain,*renderPass,*pipelineLayout,*pipeline,*fence,*imageView,*framebuffer,*cmdPool,*cmd,*event=new SDL_Event; | |
| (const char*const*&)instanceExtensions=SDL_Vulkan_GetInstanceExtensions((uint32_t*)instanceExtensionCount); | |
| vkCreateInstance(new VkInstanceCreateInfo{.sType=VK_STRUCTURE_TYPE_INSTANCE_CREATE_INFO,.pApplicationInfo=new VkApplicationInfo{.sType=VK_STRUCTURE_TYPE_APPLICATION_INFO,.apiVersion=VK_API_VERSION_1_3,},.enabledExtensionCount=*(uint32_t*)instanceExtensionCount,.ppEnabledExtensionNames=(const char**)instanceExtensions,},nullptr,(VkInstance*)&instance); | |
| SDL_Vulkan_CreateSurface((SDL_Window*)window, (VkInstance)instance,nullptr,(VkSurfaceKHR*)&surface); | |
| vkEnumeratePhysicalDev |
