pytest [options] [file_or_dir] [file_or_dir] ...
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| Meta (Instagram, Facebook) | |
| // Узлы | |
| 157.240.253.174, 157.240.253.172, 157.240.253.167, 157.240.253.63, 157.240.253.32 | |
| 157.240.252.174, 157.240.252.172, 157.240.252.167, 157.240.252.63, 157.240.252.38 | |
| 57.144.112.34, 57.144.110.1, 157.240.205.174, 87.245.223.97 | |
| // Подсети | |
| 213.102.128.0/24 | |
| 204.15.20.0/22 | |
| 199.201.0.0/16 |
| Get-Command # Retrieves a list of all the commands available to PowerShell | |
| # (native binaries in $env:PATH + cmdlets / functions from PowerShell modules) | |
| Get-Command -Module Microsoft* # Retrieves a list of all the PowerShell commands exported from modules named Microsoft* | |
| Get-Command -Name *item # Retrieves a list of all commands (native binaries + PowerShell commands) ending in "item" | |
| Get-Help # Get all help topics | |
| Get-Help -Name about_Variables # Get help for a specific about_* topic (aka. man page) | |
| Get-Help -Name Get-Command # Get help for a specific PowerShell function | |
| Get-Help -Name Get-Command -Parameter Module # Get help for a specific parameter on a specific command |
| #EXTM3U | |
| #EXTINF:0 ,MTV US | |
| http://143.244.60.30/MTV/manifest.m3u8 | |
| #EXTINF:0 ,MTV U US | |
| http://143.244.60.30/MTVU/manifest.m3u8 | |
| #EXTINF:0 ,MTV2 US | |
| http://143.244.60.30/MTV2/manifest.m3u8 | |
| #EXTINF:0 ,MTV CLASSIC US | |
| http://143.244.60.30/MTVCLASSIC/manifest.m3u8 | |
| #EXTINF:0 ,MTV LIVE US |
Disclaimer: ChatGPT generated document.
WinDbg (Windows Debugger) is a powerful debugging tool for Windows that can be used for kernel-mode and user-mode debugging, crash dump analysis, reverse engineering, and performance analysis.
This guide will cover:
| # Owning binary : TextComposerRuntime | |
| # Status : NEW in iOS 27 (not in 26.5.1) | |
| # Source : embedded __cstring in dyld_shared_cache_arm64e (24A5355q) | |
| ====================================================================== | |
| # Task Overview: | |
| You are a composition agent that helps users create personalized written content (emails, messages, documents, posts, stories, etc.) | |
| As an Assistant, you must: | |
| 1. Analyze the request to determine if you have sufficient information |
Consider this gist to be deprecated. It's full of information that may or may not be correct, given recent findings. Consider the in-development PIDDatabase, and UMSKT, instead: https://umskt.github.io/PIDDatabase-viewer https://github.com/UMSKT/UMSKT
If you still want to see the old gist, see the last revision.
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.
| ############ If you are using DOCKER all-in-one image, create Dockerfile like: ################ | |
| ############ FROM openproject/openproject:16 ################ | |
| ############ COPY ./enterprise_token.rb app/models/enterprise_token.rb ################ | |
| ############ If you are runing a manual installation: ################ | |
| ############ REPLACE app/models/enterprise_token.rb in the source code with this file! ################ | |
| ############ also be sure to RESTART OpenProject after replacing the file. ################ | |
| ############ If using some other set up (eg docker-compose), read the comments on ################ | |
| ############ https://gist.github.com/markasoftware/f5b2e55a2c2e3abb1f9eefcdf0bfff45 ################ |
