Jimmy Yang marethyu

Usage instructions

⚠️IMPORTANT⚠️: This save editor is outdated now. I created the better one here.

Go to C:\Users\YOUR_USERNAME\AppData\Local\Packages\GAMELOFTSA.DespicableMeMinionRush_0pp20fcewvvtj\LocalState and fetch a copy of the file titled "savegame."
Now run the following commands in your terminal:

python minion_save_decoder_v2_modified.py "savegame" --json savegame.json --plain-out savegame.bin

	import io
	import os
	import sys

	import requests
	from PIL import Image

	HEADERS = {
	'User-Agent': (
	'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) '

	import requests
	from bs4 import BeautifulSoup

	LOGIN_URL = 'https://bunpro.jp/users/sign_in'

	headers = {
	'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,/;q=0.8,application/signed-exchange;v=b3;q=0.7',
	'accept-encoding': 'gzip, deflate, br, zstd',
	'accept-language': 'en-US,en;q=0.9',
	'cache-control': 'max-age=0',

	"""
	Turing machine implementation in Python

	Example input:

	(Machine to generate Collatz sequence)

	0,I;1,I,R
	1,I;2,I,L
	2,I;3,I,R

	import itertools
	import json
	import os
	import sys

	import requests
	from bs4 import BeautifulSoup

	CW_API_ENDPOINT = 'https://comic-walker.com/api'
	SERIES_URL = 'https://comic-walker.com/detail/KC_000604_S?episodeType=first'

	"""
	The function simplex takes initial feasible dictionary of a LP problem with
	m basic variables and n non-basic variables, represented by (m+1)x(n+1) matrix
	wrapped in numpy.array, as its only input.

	The format of the input matrix input is as follows:
	In each row, the first column is reserved for additive constant
	while the rest of the columns stores coefficients of non-basic variable.
	The first row describes the objective function while the rest of the rows
	list constraints. You can check some examples near the end of the file.

	/* g++ pi.cpp -o pi -std=c++14 -lSDL2 */
	/* Grab pi.csv from https://dsp.stackexchange.com/a/59181/70343 */

	#include <iostream>
	#include <fstream>
	#include <string>
	#include <sstream>
	#include <complex>
	#include <vector>
	#include <algorithm>

	import matplotlib.pyplot as plt
	import numpy as np

	from math import comb, log

	def annotate_max(x, y, ax=None):
	xmax = x[np.argmax(y)]
	ymax = y.max()
	text= "U_A={:.3f}, S={:.3f}".format(xmax, ymax)
	if not ax:

	# Draw 5 cards from the standard deck of 52 cards. Denote random variables X to be the number of black cards in the hand and Y to be the number of spades in the hand.

	from math import comb
	from pandas import DataFrame

	nways = comb(52, 5)

	joint_pmf = [[0.0 for x in range(7)] for y in range(7)]

	total = 0.0