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

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

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

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 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

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"]
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"]

word = input("Please Enter Words: ")
for i in range(len(alpha)):
    process = ""
    for w in word:
        if w in alpha:
            n = alpha.index(w) + i
            if n > 25:

doraneko94

import math, tkinter, time, sys

g = 9.8
m1 = 1
m2 = 1
l1 = 150
l2 = 150
dt = 0.1
theta1 = math.pi / 2
theta2 = math.pi / 2 #+ 0.02

doraneko94

import pickle

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"]
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"]

word = input("Please Enter Words: ")

def plus_i(i, w):
    if w in alpha:
        n = alpha.index(w) + i

doraneko94

import random

alpha = ["A", "B", "C", "D"]
fishes = [1,1,1,1,1,1,1,1,1,1,
          1,1,1,1,1,1,1,1,1,1,
          1,1,1,1,1,1,1,1,1,1,
          2,2,2,2,2,2,2,2,2,2,
          2,2,2,2,2,2,2,2,2,2,
          3,3,3,3,3,3,3,3,3,3]
f = random.sample(fishes, len(fishes))

doraneko94

import numpy as np
from scipy.stats.mstats import mquantiles
from math import sqrt, ceil
from matplotlib import pyplot as plt

def _grid_from_X(X, percentiles=(0.05, 0.95), grid_resolution=100):

    if len(percentiles) != 2:
        raise ValueError('percentile must be tuple of len 2')
    if not all(0. <= x <= 1. for x in percentiles):