Yunka Yunaka12

## img_utils.py
"""
必要なモジュール
"""
import glob
import cv2
import numpy as np
import glob
import os
from scipy.ndimage.interpolation import rotate
from scipy.misc import imresize

## resize.py
import cv2
import glob
import os
import matplotlib.pyplot as plt
import numpy as np

SIZE = 416
path ="画像フォルダのパス"
save_path = "保存先のパス"

## k_fold.py
import numpy as np

#配列をn分割
def split_data(data,split_num):
    split_arr=[]
    for i in range(0,len(data),split_num):
        split_tmp_arr = data[i:i+split_num]
        split_tmp_arr = np.array(split_tmp_arr).flatten()
        split_arr.append(split_tmp_arr.tolist())
    return split_arr

## variance.py
# coding: utf-8
# Your code here!
import numpy as np
data=np.array([[4.87,4.93,4.86,4.85],[4.86,4.90,4.85,4.86],[4.90,4.89,4.85,4.84],[4.87,4.91,4.81,4.86],[4.85,4.92,4.83,4.89]])
# data = np.array([[33,31,33],[30,29,31],[33,28,32],[29,29,32],[32,27,36]])
data_flatten = data.flatten()
data_mean = data_flatten.mean()
print("全体平均:{}".format(data_mean))

#列の平均

## analysis_two_variable_function.py
from sympy import Symbol, solve, Derivative, Matrix, simplify

x = Symbol('x')
y = Symbol('y')

f = 2*x**3 + 4*x*y**2 - 10*x*y + y**2

f_x = Derivative(f,x).doit() #xで1階偏微分
f_y = Derivative(f,y).doit() #yで1階偏微分

## drop.html
<html>
<head>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<style>
body{
  margin: 0 auto;
  width: 980px;
}

a{

## Twitter_all_media_downloader.py
from twython import Twython, TwythonError
import urllib.request
import re
import time
import os
import emoji
import openpyxl

#ファイル名をツイート日時（日本時間）に設定
def change_name(date):

## baba.py
import random

#カードを分配する関数
def dist(num):
    player_tehuda = [[] for i in range(num)]
    while len(cards) != 0:
        for i in range(player_num):
            if len(cards) != 0:
                choice = random.choice(cards)
                player_tehuda[i].append(choice)

## cache.py
from tinydb import TinyDB, Query
import datetime

#重い処理の例
def omoi(i):
    #データベースから読み込まれていない場合
    if i == 0:
        for i in range(100000000):
            i = i + 1
        if DB_length == 0:

## slater.py
densi = int(input("\n原子番号:"))
power = input("有効核電荷を求めたい電子の軌道：")

orbit_num = [2,2,6,2,6,2,10,6]
orbit_name = ["1s","2s","2p","3s","3p","4s","3d","4p"]
gensi = ["水素","ヘリウム","リチウム","ベリリウム","ホウ素","炭素","窒素","酸素","フッ素","ネオン","ナトリウム","マグネシウム","アルミニウム","ケイ素","リン","硫黄",
"塩素","アルゴン","カリウム","カルシウム","スカンジウム","チタン","バナジウム","クロム","マンガン","鉄","コバルト","ニッケル","銅","亜鉛","ガリウム","ゲルマニウム",
"ヒ素","セレン","臭素","クリプトン"]
print("\n元素名: {}".format(gensi[densi-1]))
	"""
	必要なモジュール
	"""
	import glob
	import cv2
	import numpy as np
	import glob
	import os
	from scipy.ndimage.interpolation import rotate
	from scipy.misc import imresize
	import numpy as np

	#配列をn分割
	def split_data(data,split_num):
	split_arr=[]
	for i in range(0,len(data),split_num):
	split_tmp_arr = data[i:i+split_num]
	split_tmp_arr = np.array(split_tmp_arr).flatten()
	split_arr.append(split_tmp_arr.tolist())
	return split_arr
	# coding: utf-8
	# Your code here!
	import numpy as np
	data=np.array([[4.87,4.93,4.86,4.85],[4.86,4.90,4.85,4.86],[4.90,4.89,4.85,4.84],[4.87,4.91,4.81,4.86],[4.85,4.92,4.83,4.89]])
	# data = np.array([[33,31,33],[30,29,31],[33,28,32],[29,29,32],[32,27,36]])
	data_flatten = data.flatten()
	data_mean = data_flatten.mean()
	print("全体平均:{}".format(data_mean))

	#列の平均
	from sympy import Symbol, solve, Derivative, Matrix, simplify

	x = Symbol('x')
	y = Symbol('y')

	f = 2x3 + 4xy2 - 10xy + y*2

	f_x = Derivative(f,x).doit() #xで1階偏微分
	f_y = Derivative(f,y).doit() #yで1階偏微分
	<html>
	<head>
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
	<style>
	body{
	margin: 0 auto;
	width: 980px;
	}

	a{
	from twython import Twython, TwythonError
	import urllib.request
	import re
	import time
	import os
	import emoji
	import openpyxl

	#ファイル名をツイート日時（日本時間）に設定
	def change_name(date):
	import random

	#カードを分配する関数
	def dist(num):
	player_tehuda = [[] for i in range(num)]
	while len(cards) != 0:
	for i in range(player_num):
	if len(cards) != 0:
	choice = random.choice(cards)
	player_tehuda[i].append(choice)
	from tinydb import TinyDB, Query
	import datetime

	#重い処理の例
	def omoi(i):
	#データベースから読み込まれていない場合
	if i == 0:
	for i in range(100000000):
	i = i + 1
	if DB_length == 0:
	densi = int(input("\n原子番号:"))
	power = input("有効核電荷を求めたい電子の軌道：")

	orbit_num = [2,2,6,2,6,2,10,6]
	orbit_name = ["1s","2s","2p","3s","3p","4s","3d","4p"]
	gensi = ["水素","ヘリウム","リチウム","ベリリウム","ホウ素","炭素","窒素","酸素","フッ素","ネオン","ナトリウム","マグネシウム","アルミニウム","ケイ素","リン","硫黄",
	"塩素","アルゴン","カリウム","カルシウム","スカンジウム","チタン","バナジウム","クロム","マンガン","鉄","コバルト","ニッケル","銅","亜鉛","ガリウム","ゲルマニウム",
	"ヒ素","セレン","臭素","クリプトン"]
	print("\n元素名: {}".format(gensi[densi-1]))