cheeseonamonkey

 #!/bin/bash

# Set the backup filename
BACKUP_FILE="home_backup_$(date +%Y%m%d).squashfs"

# Create a temporary directory to hold the files to be backed up
TEMP_DIR=$(mktemp -d)

# Copy the files to the temporary directory
cp -r "$HOME"/.bash_logout "$TEMP_DIR"

cheeseonamonkey

#!/bin/zsh

# Define paths and test file size
TEST_FILE_SIZE=1024  # Size in MB (1G = 1024MB)
TEST_FILE_PATH_ROOT="/testfile"
TEST_FILE_PATH_HDD="/hdd/testfile"

# Clear bcache stats
echo "Clearing bcache stats..."
echo 1 | sudo tee /sys/block/bcache0/bcache/clear_stats > /dev/null

cheeseonamonkey

// Piece values
const piece = {
    "P": 100,
    "N": 280,
    "B": 320,
    "R": 479,
    "Q": 929,
    "K": 60000
};

cheeseonamonkey

//https://api.chess.com/pub/player/{username}/games/2023/02
(async function main () {

    async function getChessGamesForMonth(username, year, month) {
        const res = await fetch(`https://api.chess.com/pub/player/${username}/games/${year}/${month}`);
        if (res.ok) {
            const data = await res.json();
            return data.games
        } else {
            console.error('Problem loading chess.com games from API', res);

cheeseonamonkey

Most Important Azure Services

Service	Description	Example
Azure Compute	Virtual Machines, Virtual Machine Scale Sets, Azure Kubernetes Service	Azure VMs hosting web applications
Azure Storage	Blob Storage, File Storage, Queue Storage, Table Storage	Storing user files in Azure Blob Storage
Azure Networking	Virtual Network, Load Balancer, Application Gateway, VPN Gateway	Creating a secure network for an application
Azure Databases	Azure SQL Database, Cosmos DB, Azure Database for MySQL/PostgreSQL	Storing customer data in Azure SQL Database
Azure Identity	Azure Active Directory, Azure AD B2C, Azure AD B2B	Managing user identities for an application
Azure AI	Azure Machine Learning, Azure Cognitive Services, Azure Bot Services	Integrating chatbots into a website using Azure Bot Services
Azure D

cheeseonamonkey

cheeseonamonkey

/*
  npm install axios cheerio fs-extra
*/


// Import the necessary libraries
const axios = require('axios');
const cheerio = require('cheerio');
const fs = require('fs-extra');
const path = require('path');

cheeseonamonkey

usage:

ui:

shell:

    py wiki_to_text.py '/hdd/Downloads/simplewiki-20240120-pages-meta-current.xml.bz2' `pwd`/output/

cheeseonamonkey

import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler, MaxAbsScaler, Normalizer

# Generate demonstration data ensuring positivity
better_datasets = [
    np.random.rand(100, 2) * 20 + 10,
    np.random.rand(100, 2) * 100,
    np.random.beta(100, 2, size=(100, 2)),
    np.random.f(100, 2, size=(100, 2)),

cheeseonamonkey

let verts = new Float32Array( [ 0, 2, 0,  -1, 0.2, 0,  1, 0.2, 0 ] );
let v = base64_test( verts );
  
function base64_test( fary ){
	//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
	// ENCODING TEST
	console.log("Origin Data", fary );
	let uint = new Uint8Array( fary.buffer );
	console.log( "Convert F32 to Uint8 : Byte Length Test", fary.length * 4, uint.length );