doraneko94

import random
import sys
alpha = ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z"]
hand1 = 22 #Change
hand2 = 5 #Change
rot_state1 = 0 #Change
rot_state2 = 1 #Change
rot_state3 = 2 #Change
rot_state0 = 3 #Change
chr1 = 23 #Change

doraneko94

from matplotlib import pyplot as plt
from matplotlib import patches
import pandas as pd
import numpy as np

def BrierScores(actual_outcome, fitted_value):
    X = np.array(actual_outcome)
    p = np.array(fitted_value)
    B = sum((p-X)**2)/len(X)
    return B

doraneko94

import math, random
from matplotlib import pyplot as plt

def normal_cdf(x, mu=0, sigma=1):
    return (1 + math.erf((x - mu) / math.sqrt(2) / sigma)) / 2

def inverse_normal_cdf(p, mu=0, sigma=1, tolerance=0.00001):
    if mu != 0 or sigma != 1:
        return mu + sigma * inverse_normal_cdf(p, tolerance=tolerance)

doraneko94

import functions as fn
from time import sleep

scale = 6
kifu = {}
now = []
end = 0
t = 0
while end == 0:
    board = fn.board_set(kifu, now, scale)

doraneko94

	randomize
	shiai_num = 10000 ;shiai_numの数値と等しい回数の試合を行います。
	;データ読み込み変数定義
	dim b1,10
	dim b2,10
	dim b3,10
	dim b4,10
	dim st,10
	dim std,10
	dim bunt,10