apeckham

for i in {1..100}; do
  curl -L -o $i.jpg $(ruby -e 'puts "https://picsum.photos/" + (rand(1..100) * 10).to_s + "/" + (rand(1..100) * 10).to_s')
done

apeckham

(defn get-free-port []
  (with-open [socket (ServerSocket. 0)]
    (.getLocalPort socket)))

apeckham

tell application "Adium"
	repeat with c in every contact
		set blocked of c to true
	end repeat
end tell

apeckham

@import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@400;700&display=swap');

/* Waveform container styling */
#root {
  background-color: #f9f9f9;
}

body {
  font-family: 'Montserrat', sans-serif;
}

apeckham

# Created new Autopilot cluster
# https://docs.gitlab.com/runner/install/kubernetes.html
# Create a runner at https://gitlab.com/groups/GROUP/-/runners

wget https://github.com/derailed/k9s/releases/download/v0.28.2/k9s_Linux_amd64.tar.gz
tar xvfz k9s*gz

gcloud container clusters get-credentials CLUSTER --region REGION --project PROJECT
helm repo add gitlab https://charts.gitlab.io
helm repo update gitlab

apeckham

# download from http://sourceforge.net/projects/aria2/files/stable/aria2-1.19.0
sudo yum install gcc-g++ openssl-devel -y
tar xvfj aria2...tar.bz2
./configure
make -j$(nproc)
sudo make install

apeckham

#!/bin/bash
set -ex

# Input file name
input_file="input.mp4"

# Output file name
output_file="output.mp4"

# Duration of each segment in seconds (5 minutes)

apeckham

find . -maxdepth 1 -name "*.pdf" -exec mdls -name kMDItemNumberOfPages {} \; | awk '/kMDItemNumberOfPages/ {sum += $3} END {print sum}'

apeckham

import json
import base64
import os
import sys
from urllib.parse import urlparse
import requests

def fetch_url(url):
    try:
        response = requests.get(url, timeout=10)

apeckham

async function deleteAllConversations() {
  const organizationId = 'XXXXXXX';
  const conversations = await fetch(`https://claude.ai/api/organizations/${organizationId}/chat_conversations`)
    .then(response => response.json());

  console.log(`Found ${conversations.length} conversations to delete.`);

  for (const conversation of conversations) {
    const deleteUrl = `https://claude.ai/api/organizations/${organizationId}/chat_conversations/${conversation.uuid}`;