beefy

# by convention the first makefile target
# compile, run the problems, then clean up
all: compile run

# compile all of the files
# and execute them
run:
	java -cp ./build/classes main/Checkers

# compile all of the files

beefy

import matplotlib.pyplot as plt
import datetime
import numpy as np
from datetime import datetime

games = []
rec= {}
keys = [
	"[Event ","[Site ","[Date ","[Round ","[White ","[Black ",
	"[Result ","[UTCDate ","[UTCTime ","[WhiteElo ","[BlackElo ",

beefy

import matplotlib.pyplot as plt
import datetime
import numpy as np
from datetime import datetime

games = []
rec= {}
keys = [
	"[Event ","[Site ","[Date ","[Round ","[White ","[Black ",
	"[Result ","[UTCDate ","[UTCTime ","[WhiteElo ","[BlackElo ",

beefy

import chess.pgn
import chess.svg
import subprocess
import lichess.pgn
import lichess.api
import os
import io
import imageio
import numpy as np
import cv2

beefy

This also works on WSL2 for windows

https://docs.soliditylang.org/en/latest/installing-solidity.html#building-from-source https://github.com/ethereum/solidity/blob/develop/scripts/install_deps.sh

sudo apt-get update

• install the metamask chrome extension: https://chrome.google.com/webstore/detail/metamask/nkbihfbeogaeaoehlefnkodbefgpgknn?hl=en
• install cmake: sudo apt-get install cmake
• install boost: sudo apt-get install libboost-all-dev
• install z3: sudo apt-get install z3

beefy

import os
import io
import cv2
import math
import matplotlib.pyplot as plt
import pandas as pd
from tensorflow.keras.preprocessing import image_dataset_from_directory
import numpy as np
from keras.utils import np_utils
from skimage.transform import resize

beefy

import pickle
import random

with open("markov.pickle", "rb") as f:
    markov = pickle.load(f)

length = 500
initial_word = random.choice(list(markov.keys()))
output = initial_word.decode("ascii", "ignore") + " "
previous_word = initial_word