ntflix

#!python3.9
from time import sleep
from typing import Optional
import requests
from urllib.parse import urlencode

HEADERS = {
    "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
    "Content-Type": "application/x-www-form-urlencoded",
    "Origin": "https://www.oracleofbacon.org",

ntflix

for file in `find .`;
do if [ "${file: -3}" == ".py" ];
then echo -e $file\\n >> $file.txt && echo -e "`nl -ba $file`" >> $file.txt;
fi;
done

ntflix

# Skeleton Program code for the AQA A Level Paper 1 Summer 2019 examination
# this code should be used in conjunction with the Preliminary Material
# written by the AQA Programmer Team
# and me lol ©
# developed in the Python 3.5.1 programming environment

import random
import pickle
import os

ntflix

# Skeleton Program code for the AQA A Level Paper 1 Summer 2019 examination
# this code should be used in conjunction with the Preliminary Material
# written by the AQA Programmer Team
# and me lol ©
# developed in the Python 3.5.1 programming environment

import random
import pickle
import os

ntflix

# Skeleton Program code for the AQA A Level Paper 1 Summer 2019 examination
# this code should be used in conjunction with the Preliminary Material
# written by the AQA Programmer Team
# and me lol ©
# developed in the Python 3.5.1 programming environment

import random
import pickle
import os

ntflix

# Skeleton Program code for the AQA A Level Paper 1 Summer 2019 examination
# this code should be used in conjunction with the Preliminary Material
# written by the AQA Programmer Team
# and me lol ©
# developed in the Python 3.5.1 programming environment

import random
import pickle
import os

ntflix

from modules.data_structures.graph.graph import Graph
from modules.data_structures.maze.maze.maze_protocol import MazeProtocol
from modules.data_structures.maze.maze_cell.maze_cell import MazeCell
from typing import Dict, Tuple


class Maze(MazeProtocol):
    """The protocol for any Maze object to conform to.

    Args:

ntflix

from typing import List

"""
Adjacency Matrix
1. Create a matrix A of size NxN and initialise it with zero.
2. Iterate over each given edge of the form (u,v) and assign 1 to A[u][v]. Also, If graph is undirected then assign 1 to A[v][u].
"""

class Graph:
    adjacencyMatrix: List[List]

ntflix

import csv
import enum


def average(numbers: list):
    average: float = 0
    for number in numbers:
        average += number

    average /= len(numbers)

ntflix

graph: dict = {
    "A": {"colour": "White", "neighbours": ["B", "D", "E"]},
    "B": {"colour": "White", "neighbours": ["A", "D", "C"]},
    "C": {"colour": "White", "neighbours": ["B", "G"]},
    "D": {"colour": "White", "neighbours": ["A", "B", "E", "F"]},
    "E": {"colour": "White", "neighbours": ["A", "D"]},
    "F": {"colour": "White", "neighbours": ["D"]},
    "G": {"colour": "White", "neighbours": ["C"]}
}