rahimnathwani

import random


donkey = 0
car = 10  # car is worth more than a donkey
prizes = [car, donkey, donkey]  # there's always exactly one car
N = 1000000


def pick_a_door(prizes):

rahimnathwani

echo "Creating an SSH key for you..."
ssh-keygen -t rsa -b 2048

echo "Please add this public key to Github \n"
echo "https://github.com/account/ssh \n"
echo "and to virtual servers\n"
read -p "Press [Enter] key after this..."

echo "Installing xcode-stuff"
xcode-select --install

rahimnathwani

# From https://xiaoxing.us/2018/09/04/creating_swap_on_lightsail/

# fallocate is instant; no point wasting time writing zeroes
sudo fallocate -l 8G /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile
sudo cp /etc/fstab /etc/fstab.bak
# Activate swap on boot
echo '/swapfile none swap sw 0 0' | sudo tee -a /etc/fstab

rahimnathwani

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.12.2"
# dependencies = [
#     "deepface",
#     "pandas==2.2.3",
#     "tqdm==4.67.1",
#     "opencv-contrib-python==4.10.0.84",
#     "tensorflow==2.18.0",
#     "keras==3.7.0",

rahimnathwani

#!/bin/bash

# Check if a filename was provided
if [ $# -ne 1 ]; then
    echo "Usage: $0 <pdf-file>"
    exit 1
fi

# Convert to absolute paths
input_pdf=$(realpath "$1")

rahimnathwani

#!/bin/bash

# Check if an input file was provided
if [ $# -ne 1 ]; then
    echo "Usage: $0 <input.mp3>"
    exit 1
fi

input_file="$1"

rahimnathwani

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.8"
# dependencies = [
#   "opencv-python>=4.5.0",
#   "numpy>=1.20.0",
#   "pillow>=8.0.0",
# ]
# ///

rahimnathwani

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.11"
# dependencies = [
#   "python-dotenv",
#   "openai",
# ]
# ///

import os

rahimnathwani

import numpy as np
from sklearn.decomposition import FactorAnalysis
from sklearn.preprocessing import StandardScaler
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

# --- Parameters ---
# Spearman's early work involved small numbers of tests/variables and modest samples.
n_subjects = 200   # Number of simulated individuals

rahimnathwani

#!/usr/bin/env python3
"""
Parse SVG file to find unfamiliar topics that have no unfamiliar or just-started-learning prerequisites.
"""

import re
import xml.etree.ElementTree as ET
from collections import defaultdict
from typing import Dict, List, Set, Tuple