lodestone-rock

import os
import wandb
from tqdm import tqdm
import argparse

import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader

rekram1-node

{
  "agent_servers": {
    "OpenCode": {
      "command": "opencode",
      "args": ["acp"]
    }
  }
}

glennmatlin

Claude Code Hooks for working with uv

by Glenn Matlin / glennmatlin on all socials

Installation

1. Download and copy all files in this gist to ~/.claude/
2. Move the .py files to ~/.claude/hooks
3. Restart Claude Code.

yanndebray

philschmid

import os
from google import genai
from google.genai import types

client = genai.Client(api_key=os.getenv("GEMINI_API_KEY","xxx"))

# Repalce with the youtube url you want to analyze
youtube_url = "https://www.youtube.com/watch?v=RDOMKIw1aF4" 

# Prompt to analyze and summarize the Youtube Video

jwbee

Make Ubuntu packages 90% faster by rebuilding them

TL;DR

You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.

Setting

I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is

willccbb

Approaches to Solving the ARC-AGI Challenge: A Comprehensive Analysis

Table of Contents

1. Introduction
2. Understanding the ARC-AGI Challenge
3. Historical Progress on ARC-AGI
4. Current Approaches
   • Program Synthesis Approaches
   • Large Language Model Approaches

• Hybrid Approaches

sarath-menon

Code Bash command prefix detection

This defines risk levels for actions that the ${K4} agent may take. This classification system is part of a broader safety framework and is used to determine when additional user confirmation or oversight may be needed.

Command prefix extraction examples

Examples:

• cat foo.txt => cat
• cd src => cd

tarruda

"""
A micro event loop library implementation from scratch.

This library provides a minimal but feature-complete asynchronous event loop
implementation for educational purposes. It demonstrates the core concepts of
asynchronous programming including:

- Task scheduling and management
- I/O multiplexing with non-blocking sockets
- Timeouts and sleep functionality

Maharshi-Pandya

You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

## Core Principles

1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference