from json import JSONDecodeError  # Workaround for requests.exceptions.JSONDecodeError

import requests





def 				UpperCAmelCase						(    lowercase = "isbn/0140328726"							):







				"""simple docstring"""



				__lowercase 			=							olid.strip().strip('''/'''							)  # Remove leading/trailing whitespace & slashes
				if new_olid.count('''/'''							) != 1:
								__lowercase 			=							F"{olid} is not a valid Open Library olid"
								raise ValueError(lowercase							)
				return requests.get(F"https://openlibrary.org/{new_olid}.json"							).json()





def 				UpperCAmelCase						(    lowercase							):







				"""simple docstring"""



				__lowercase 			=							{
				    '''title''': '''Title''',
				    '''publish_date''': '''Publish date''',
				    '''authors''': '''Authors''',
				    '''number_of_pages''': '''Number of pages:''',
				    '''first_sentence''': '''First sentence''',
				    '''isbn_10''': '''ISBN (10)''',
				    '''isbn_13''': '''ISBN (13)''',
				}
				__lowercase 			=							{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
				__lowercase 			=							[
				    get_openlibrary_data(author['''key''']							)['''name'''] for author in data['''Authors''']
				]
				__lowercase 			=							data['''First sentence''']['''value''']
				for key, value in data.items():
								if isinstance(lowercase							,			lowercase							):
												__lowercase 			=							''', '''.join(lowercase							)
				return data


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		while True:
				__a  :     int       =  input("""\nEnter the ISBN code to search (or 'quit' to stop): """).strip()
				if isbn.lower() in ("", "q", "quit", "exit", "stop"):
						break

				if len(isbn) not in (1_0, 1_3) or not isbn.isdigit():
						print(F'''Sorry, {isbn} is not a valid ISBN.  Please, input a valid ISBN.''')
						continue

				print(F'''\nSearching Open Library for ISBN: {isbn}...\n''')

				try:
						__a  :     Any       =  summarize_book(get_openlibrary_data(F'''isbn/{isbn}'''))
						print("""\n""".join(F'''{key}: {value}''' for key, value in book_summary.items()))
				except JSONDecodeError:  # Workaround for requests.exceptions.RequestException:
						print(F'''Sorry, there are no results for ISBN: {isbn}.''')
import csv

import tweepy

# Twitter API credentials
__a  :     Union[str, Any]       =  """"""
__a  :     Union[str, Any]       =  """"""
__a  :     Union[str, Any]       =  """"""
__a  :     List[Any]       =  """"""





def 				UpperCAmelCase						(    lowercase							):







				"""simple docstring"""



				__lowercase 			=							tweepy.OAuthHandler(lowercase							,			lowercase							)
				auth.set_access_token(lowercase							,			lowercase							)
				__lowercase 			=							tweepy.API(lowercase							)

				# initialize a list to hold all the tweepy Tweets
				__lowercase 			=							[]

				# make initial request for most recent tweets (200 is the maximum allowed count)
				__lowercase 			=							api.user_timeline(screen_name=lowercase							,			count=200							)

				# save most recent tweets
				alltweets.extend(lowercase							)

				# save the id of the oldest tweet less one
				__lowercase 			=							alltweets[-1].id - 1

				# keep grabbing tweets until there are no tweets left to grab
				while len(lowercase							) > 0:
								print(F"getting tweets before {oldest}"							)

								# all subsequent requests use the max_id param to prevent duplicates
								__lowercase 			=							api.user_timeline(
								    screen_name=lowercase							,			count=200							,			max_id=lowercase							)

								# save most recent tweets
								alltweets.extend(lowercase							)

								# update the id of the oldest tweet less one
								__lowercase 			=							alltweets[-1].id - 1

								print(F"...{len(lowercase							)} tweets downloaded so far"							)

				# transform the tweepy tweets into a 2D array that will populate the csv
				__lowercase 			=							[[tweet.id_str, tweet.created_at, tweet.text] for tweet in alltweets]

				# write the csv
				with open(F"new_{screen_name}_tweets.csv"							,			'''w'''							) as f:
								__lowercase 			=							csv.writer(lowercase							)
								writer.writerow(['''id''', '''created_at''', '''text''']							)
								writer.writerows(lowercase							)


if __name__ == "__main__":
		# pass in the username of the account you want to download
		get_all_tweets("""FirePing32""")