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zshy Asset Handling Guide

⚠️ IMPORTANT: zshy is NOT a bundler - it copies assets but does NOT transform them into JavaScript modules. Assets remain as separate files that must be accessed at runtime.

Overview

zshy automatically handles non-JavaScript assets and copies them to the output directory during builds. This feature enables including custom files like LICENSE, README.md, Protocol Buffer definitions, Ethereum ABIs, and other artifacts in your TypeScript packages without additional configuration.

Key Concept: zshy detects imported assets and copies them to the output directory, but does not make them available as JavaScript modules. The assets remain as separate files that you access at runtime.

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#!/usr/bin/env bun
"use strict";

const fs = require("fs");
const { execSync } = require("child_process");
const path = require("path");

// ANSI color constants
const c = {
  cy: '\033[36m',  // cyan

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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:

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# 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

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

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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,