On every machine in the cluster install openmpi and mlx-lm:

conda install conda-forge::openmpi
pip install -U mlx-lm

Next download the pipeline parallel run script. Download it to the same path on every machine:

This smol post assumes you worked on a custom thunk implementation before but no idea how it works, why you're using cursed macros from 1990s etc. If you don't have any programming experience or relatively new to Unreal world, it's likely you might not understand anything from this post, not because concepts are too difficult to grasp, but rather because this post is written for the people who has an understanding of how Unreal works since a while and want to expand their knowledge of custom thunks implementation.

• A thunk is a function that you can save and call later, so if you had an array of TFunction<void()>s, you would have an array of custom thunks that you can bind/unbind new function pointers to existing TFunctions.
• Custom thunks of Blueprints are the same, they're a fancy array/list of function pointers. Imagine for each node you placed to graph, Blueprints have a place for that node in it's list of custom thunks. For example the + node in Blueprints that

Peripheral physiological recordings, such as the electrocardiogram (ECG), were traditionally excluded from neural analysis, but findings about their bi-directional interactions have opened the field of brain-heart interactions (BHI). Scientists are now closely studying the heart-beat evoked potential (HEP) in the brain¹, as well as its modulation in the Insula², a deep brain area involved in introspection. There is thus a need for a package to facilitate BHI analysis that incorporates modern signal analysis and cleaning techniques, as well as provide a convenient plotting tool for visualizing these analyses.

This project aims to provide a pipeline for efficient Brain-Heart analysis by extending the widely used Python-based MNE package. It first handles ECG, PPG and respiratory signal processing and feature extraction through implemented algorithms and the Neurokit2 package. Information about relevant periods, or low quality segments are handled and stored for

Complete technical documentation of Claude Code's internal tools

This document provides comprehensive technical details about Claude Code's internal tools, including parameter schemas, implementation behaviors, and usage patterns.

Technical Details:

Unblock Facebook includes Facebook Analytics, and Facebook for Developers.

/etc/hosts

c:\Windows\System32\Drivers\etc\hosts

• Visit fmhy.net/android-iosguide#ios-ipas for more sources.
• Sideloading Guide: https://rentry.co/sideloadingguide

This style guide was generated by Claude Code through deep analysis of the Fizzy codebase - 37signals' open-source project management tool.

Why Fizzy matters: While 37signals has long advocated for "vanilla Rails" and opinionated software design, their production codebases (Basecamp, HEY, etc.) have historically been closed source. Fizzy changes that. For the first time, developers can study a real 37signals/DHH-style Rails application - not just blog posts and conference talks, but actual production code with all its patterns, trade-offs, and deliberate omissions.

How this was created: Claude Code analyzed the entire codebase - routes, controllers, models, concerns, views, JavaScript, CSS, tests, and configuration. The goal was to extract not just what patterns are used, but why - inferring philosophy from implementation choices.