sueszli

❯   ls /opt/homebrew/share/figlet/*.tlf | xargs -n 1 basename | sed 's/\.tlf$//' | while read font; do echo "FONT: $font"; toilet -f $font "sample"; done
FONT: ascii12
                                                            
                                         mmmm               
                                         ""##               
 mm#####m   m#####m  ####m##m  ##m###m     ##       m####m  
 ##mmmm "   " mmm##  ## ## ##  ##"  "##    ##      ##mmmm## 
  """"##m  m##"""##  ## ## ##  ##    ##    ##      ##"""""" 
 #mmmmm##  ##mmm###  ## ## ##  ###mm##"    ##mmm   "##mmmm# 
  """"""    """" ""  "" "" ""  ## """       """"     """""  

sueszli

cmake_minimum_required(VERSION 3.27 FATAL_ERROR)
project(demo LANGUAGES C)

set(CMAKE_C_STANDARD 23)
set(CMAKE_C_STANDARD_REQUIRED ON)

if(CMAKE_C_COMPILER_ID MATCHES "GNU" AND CMAKE_C_COMPILER_VERSION VERSION_LESS 14.0.0)
  message(FATAL_ERROR "GCC is outdated: ${CMAKE_C_COMPILER_VERSION}")
endif()
if(CMAKE_C_COMPILER_ID MATCHES "Clang" AND CMAKE_C_COMPILER_VERSION VERSION_LESS 16.0.0)

sueszli

#
# Usage: `uv run robust_compiler_options.py > options.json`
# See: https://docs.astral.sh/uv/guides/scripts/#declaring-script-dependencies
#
#
# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "requests==2.32.4",
#     "markdown==3.6",

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# this container just serves to install the `klaR` package
# 
# usage:
# 
#   $ docker compose up -d
#   $ docker compose exec main Rscript -e "rmarkdown::render('ex7.rmd', output_format = 'pdf_document')"

services:
  main:
    container_name: main

sueszli

def sigmoid(x): return 1/(1 + __import__('math').exp(-x))

def train_mnist():
    # Generate mock MNIST data (28x28 images)
    X = [[float(i%2) for i in range(784)] for _ in range(100)]  # Mock input
    y = [[1 if i==j else 0 for i in range(10)] for j in range(100)]  # Mock labels
    
    # Initialize weights and biases
    W1 = [[0.01*((i+j)%2) for j in range(784)] for i in range(30)]
    W2 = [[0.01*((i+j)%2) for j in range(30)] for i in range(10)]

sueszli

how to install

• conda:

  works great. no issues.

• docker:

  works well - unless you want to use the latest stable vscode version as of may 2024.

sueszli

import hashlib
import sys
import pathlib
import subprocess


"""
github commits are restricted to 25-50 MiB, varying based on the push method [^1].
to handle files beyond this limit, git lfs (large file storage) pointers are necessary, referencing an external lfs server [^2].
however, this method incurs a monthly cloud storage fee to github [^3].

sueszli

import webbrowser
import time
from playwright.sync_api import sync_playwright


URL = "https://www.amazon.jobs/en/search?___________INSERT YOUR URL HERE___________"

page = sync_playwright().start().chromium.launch().new_page()
page.goto(URL)

sueszli

import { assert, log } from 'console'
import fs from 'fs'
import playwright from 'playwright'

const DOWNLOAD_PATH = 'downloads'

const main = async () => {
    console.clear()

    // init download dir

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const { join } = require("path");

module.exports = {
  cacheDirectory: join(__dirname, ".cache", "puppeteer"),
};