tbbooher

import csv
import psycopg2
from dotenv import load_dotenv
import os
from datetime import datetime
from tqdm import tqdm

# Load environment variables from .env file
load_dotenv()

tbbooher

# Load required libraries
library(ggplot2)
library(ggforce)
library(gridExtra)

plot_laser_points <- function() {
  plots <- vector("list", length = 9)
  circle_radius <- 18  # Fixed circle radius of 18 mm
  max_distance_from_center <- 10
  

tbbooher

class ATM:
    def __init__(self):
        self._total_twenties = 0
        self._total_fives = 0

    def deposit_twenty(self, amount):
        if amount > 0:
            self._total_twenties += amount
            return f"Deposited {amount * 20} dollars successfully."
        else:

tbbooher

import pulp, csv


# Conversion factors
in_to_mm = 25.4 # 1 inch is 25.4 mm

# Define the stock boards as a list of tuples (description, length in mm, width in mm, cost)
# All lengths are converted to mm (1 ft = 12 in)
# Conversion factors
in_to_mm = 25.4 # 1 inch = 25.4 millimeters

tbbooher

public class PigLatinConverter {

    public static void main(String[] args) {
        String inputSentence = "Hello world this is a test";
        String pigLatinSentence = convertSentenceToPigLatin(inputSentence);
        System.out.println("Original: " + inputSentence);
        System.out.println("Pig Latin: " + pigLatinSentence);
    }

    public static String convertSentenceToPigLatin(String sentence) {

tbbooher

from __future__ import print_function
import base64
import os
import os.path
import sys
import email
import datetime
import pytz
import base64
import email

tbbooher

from __future__ import print_function
import base64
import os
import os.path
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
import sys

tbbooher

import matplotlib.pyplot as plt
import matplotlib.patches as patches

def first_fit_decreasing(pieces, plywood_width, plywood_length):
    pieces = sorted(pieces, key=lambda x: x[0] * x[1], reverse=True)
    bins = []
    positions = []

    for piece in pieces:
        piece_placed = False

tbbooher

from bs4 import BeautifulSoup
import csv
import re

with open('edmunds.html', 'r') as f:
    html = f.read()

soup = BeautifulSoup(html, 'html.parser')

results = []

tbbooher

from bs4 import BeautifulSoup
import csv
import re

with open('output.html', 'r') as f:
    html = f.read()

soup = BeautifulSoup(html, 'html.parser')

results = []