Yunaka12

densi = int(input("\n原子番号:"))
tmp = densi

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"]

orbit_num = [2,2,6,2,6,2,10]
orbit_name = ["1s","2s","2p","3s","3p","4s","3d"]
orbit=[]

Yunaka12

RNA = input()
aminosan_list = {
"フェニルアラニン":["UUU","UUC"],
"ロイシン":["UUA","UUG","CUU","CUC","CUA","CUG"],
"イソロイシン":["AUU","AUC","AUA"],
"メチオニン":["AUG"],
"バリン":["GUU","GUC","GUA","GUG"],
"セリン":["UCU","UCC","UCA","UCG"],
"プロリン":["CCU","CCC","CCA","CCG"],
"トレオニン":["ACU","ACC","ACA","ACG"],

Yunaka12

import cv2
import os

#顔
face_cascade_path = "haarcascade_frontalface_alt2.xml"
# カスケード分類器を作成
face_cascade = cv2.CascadeClassifier(face_cascade_path)

# 保存先フォルダを作成
if not os.path.exists("output"):

Yunaka12

from twython import Twython, TwythonError
from requests_oauthlib import OAuth1Session
import urllib.request
import re
import time
import os
from glob import glob
import datetime
import emoji