0xBigBoss

Claude Code Instructions

This document contains guidelines for Claude Code to follow when working on this project.

Development Process

• Keep development agile and iterative with tight feedback loops
• Focus on small wins rather than trying to accomplish too much at once
• Maintain awareness of the current code state, desired state, and results
• Follow the Observe-Orient-Run-Reflect cycle:

0xBigBoss

# Written by https://github.com/DeterminateSystems/nix-installer.
# The contents below are based on options specified at installation time.
download-buffer-size = 524288000
max-jobs = 8
cores = 2
trusted-users = root urname

0xBigBoss

services:
  shovel:
    image: docker.io/indexsupply/shovel:af07
    container_name: shovel
    restart: unless-stopped
    ports:
      - "8383:80"
    env_file:
      - .env
    volumes:

0xBigBoss

def sieve_of_eratosthenes(n: int) -> list[int]:
    """
    Generate all prime numbers up to n using the Sieve of Eratosthenes algorithm.

    Args:
        n (int): Upper bound for generating prime numbers

    Returns:
        list[int]: List of all prime numbers up to n

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/*
 * Example 1: POSIX Shared Memory
 * This example shows how to create, write to, and read from a POSIX shared memory segment
 */

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <fcntl.h>
#include <sys/mman.h>

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#!/bin/bash

# Help function to display usage
show_help() {
  echo "Usage: $0 [OPTIONS]"
  echo
  echo "Options:"
  echo "  --image IMAGE         Docker image to use (required)"
  echo "  --address IP          Head node IP address (required)"
  echo "  --mode MODE           Either 'head' or 'worker' (required)"

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# train_grpo.py
import re
import torch
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer

# Load and prep dataset

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-- Find indexes on the table
SELECT indexname, tablename
FROM pg_indexes
WHERE tablename = '' || ${table_name} || '';

-- Find foreign key relationships
SELECT
    tc.table_schema,
    tc.constraint_name,
    tc.table_name,

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sudo ln -s /data2/k3s-rancher-etc/ /etc/rancher
sudo ln -s /data2/k3s/ /run/k3s
sudo ln -s /data2/k3s-kubelet/ /var/lib/kubelet
sudo ln -s /data2/k3s-rancher/ /var/lib/rancher

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curl -sfL https://get.k3s.io | sh -s - \
  --bind-address=0.0.0.0 \
  --flannel-iface=zt12345678 \
  --node-ip=10.0.0.2 \
  --cluster-init

# from control plane
K3S_URL=https://10.0.0.2:6443
K3S_TOKEN=$(sudo cat /var/lib/rancher/k3s/server/node-token)