| # DEDUP + LONG PATHS — run in elevated PowerShell | |
| $path = [Environment]::GetEnvironmentVariable('Path', 'Machine'); $seen = @{}; $deduped = ($path -split ';' | ForEach-Object { $_.Trim() } | Where-Object { $_ -ne '' -and -not $seen.ContainsKey($_.ToLower()) } | ForEach-Object { $seen[$_.ToLower()] = $true; $_ }) -join ';'; [Environment]::SetEnvironmentVariable('Path', $deduped, 'Machine'); $reg = 'HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem'; Set-ItemProperty -Path $reg -Name 'LongPathsEnabled' -Value 1 -Type DWord; $gpo = 'HKLM:\SOFTWARE\Policies\Microsoft\Windows\FileSystem'; if (-not (Test-Path $gpo)) { New-Item -Path $gpo -Force | Out-Null }; Set-ItemProperty -Path $gpo -Name 'LongPathsEnabled' -Value 1 -Type DWord; Write-Host "PATH deduped ($($path.Split(';').Count - $seen.Count) removed). Long paths enabled. REBOOT." -ForegroundColor Green |
You are translating one Rust file to Odin. Read this whole document before
writing any code. The goal of Phase A is a draft .odin next to the
.rs that captures the logic faithfully — it does not need to compile.
Phase B makes it compile package-by-package.
This guide is project-agnostic. If you're porting a specific codebase, fill in the "Package map" table below with your crate→package layout before starting — everything else applies generally.
| // ==UserScript== | |
| // @name Auto-Resize Chat Input Fix | |
| // @namespace http://tampermonkey.net/ | |
| // @version 1.0 | |
| // @description Fixes laggy auto-resize and pasting issues for the chat textarea | |
| // @author DevTools Assistant | |
| // @match *://*/* | |
| // @grant none | |
| // ==/UserScript== |
| #!/usr/bin/env python3 | |
| """ | |
| yt-dlp-doh: DNS over HTTPS (DoH) Wrapper for yt-dlp with Logging | |
| This script enables DNS over HTTPS for yt-dlp by monkey-patching Python's | |
| socket.getaddrinfo() function to resolve hostnames via encrypted DoH queries | |
| instead of the system's default DNS resolver. | |
| Features: | |
| ✓ Encrypted DNS resolution via RFC 8484 DoH endpoints |
Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggml-org/llama.cpp#5962
In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.
See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix
| package d3d11_main | |
| import D3D11 "vendor:directx/d3d11" | |
| import DXGI "vendor:directx/dxgi" | |
| import D3D "vendor:directx/d3d_compiler" | |
| import SDL "vendor:sdl2" | |
| import glm "core:math/linalg/glsl" | |
| // Based off https://gist.github.com/d7samurai/261c69490cce0620d0bfc93003cd1052 |
pip install opensandbox-code-interpreter opensandbox-server
$env:OPENSANDBOX_URL="http://localhost:8081"
Specify the target config file path (~/.sandbox.toml) and replace -f with --force: [1, 2]
opensandbox-server.exe init-config ~/.sandbox.toml --example docker --force
Here is the complete, definitive guide to the Python and Conda packaging ecosystems. This integrates every component from the original list, alongside native Python tooling, modern Rust-based alternatives, embedded environments, and direct URLs for every tool.
These installers package the environment tool along with massive pre-compiled software bundles.
- Anaconda Distribution: The flagship 5GB+ bundle. It includes a Graphical User Interface (Anaconda Navigator) and hundreds of pre-installed data science packages. Subject to Anaconda's commercial license fees.
- URL: anaconda.com/download