ursuleacv

"""
The most atomic way to train and inference a GPT LLM in pure, dependency-free Python.
Differences from GPT-2 are minor: rmsnorm instead of layer norm, no biases, square ReLU instead of GeLU nonlinearity.
The contents of this file is everything algorithmically needed to train a GPT. Everything else is just efficiency.
Art project by @karpathy.
"""

import os       # for os.path.exists
import math     # for math.log, math.exp
import random   # for random.seed, random.choices

ursuleacv

<?php

// Make sure the PCNTL extension is available
if (!function_exists('pcntl_fork')) {
    die("PCNTL functions not available. Please install the PCNTL extension.\n");
}

// Create a temp directory for process communication
$tempDir = sys_get_temp_dir() . '/pcntl_' . uniqid();
mkdir($tempDir, 0755, true);

ursuleacv

<?php

/**
 * Class PIIMasker
 * 
 * This class provides methods to mask or anonymize Personally Identifiable Information (PII).
 * Masking involves partial replacement for readability, while anonymization uses hashing for irreversibility.
 * It's recommended to use anonymization for storing data securely.
 */
class PIIMasker

ursuleacv

#!/bin/sh
set -e

vendor/bin/phpunit

(git push) || true

git checkout production
git merge master

ursuleacv

---

title: Setting Up Laravel in Ubuntu / DigitalOcean keywords: servers, laravel, coderstape, coder's tape description: Let's take a look at settting up a server from scratch for Laravel. date: April 1, 2019 tags: servers, laravel permalink: setting-up-laravel-in-ubuntu-digitalocean img: https://coderstape.com/storage/uploads/GZTXUbyGum2xeUZM9qBD5aPv8EKLwG3C8RGcRon4.jpeg author: Victor Gonzalez authorlink: https://github.com/vicgonvt

ursuleacv

name: Laravel Vapor CD
on:
  release:
    types: [ published, deleted ]
    branches:
      - master
jobs:
  deploy_release:
    runs-on: ubuntu-20.04

ursuleacv

Runcloud Automic Deployment Script For Laravel Applications

These scripts can be used to set up automic deployments in runcloud for laravel applications

ursuleacv

name: Preview Environment

on:
  pull_request:
    types: [opened]

env:
  FORGE_API_TOKEN: ${{ secrets.FORGE_API_TOKEN }}
  FORGE_SERVER_ID: ${{ secrets.FORGE_SERVER_ID }}

ursuleacv

<?php
function quadraticRegression($dataPoints) {
    $sumX = 0;
    $sumX2 = 0;
    $sumX3 = 0;
    $sumX4 = 0;
    $sumY = 0;
    $sumXY = 0;
    $sumX2Y = 0;
    

ursuleacv

<?php
function polyfit($dependentValues, $independentValues, $countOfElements, $order, &$coefficients)
{
    // Declarations...
    // ----------------------------------
    $maxOrder = 5;
    
    $B = array_fill(0, $maxOrder + 1, 0.0);
    $P = array_fill(0, (2 * ($maxOrder + 1)) + 1, 0.0);
    $A = array_fill(0, (2 * ($maxOrder + 1)) * ($maxOrder + 1), 0.0);