





import csv

import tweepy

# Twitter API credentials
lowerCAmelCase_    =    ''''''
lowerCAmelCase_    =    ''''''
lowerCAmelCase_    =    ''''''
lowerCAmelCase_    =    ''''''






def 					lowerCamelCase_						(    _UpperCamelCase			)		->						None:






				"""simple docstring"""


				snake_case_						:   Optional[Any]           =  tweepy.OAuthHandler(_UpperCamelCase			,    _UpperCamelCase			)
				auth.set_access_token(_UpperCamelCase			,    _UpperCamelCase			)
				snake_case_						:   Optional[Any]           =  tweepy.API(_UpperCamelCase			)

				# initialize a list to hold all the tweepy Tweets
				snake_case_						:   Tuple           =  []

				# make initial request for most recent tweets (200 is the maximum allowed count)
				snake_case_						:   Any           =  api.user_timeline(screen_name=_UpperCamelCase			,    count=200			)

				# save most recent tweets
				alltweets.extend(_UpperCamelCase			)

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

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

								# all subsequent requests use the max_id param to prevent duplicates
								snake_case_						:   int           =  api.user_timeline(
								    screen_name=_UpperCamelCase			,    count=200			,    max_id=_UpperCamelCase			)

								# save most recent tweets
								alltweets.extend(_UpperCamelCase			)

								# update the id of the oldest tweet less one
								snake_case_						:   Optional[int]           =  alltweets[-1].id - 1

								print(f'''...{len(_UpperCamelCase			)} tweets downloaded so far'''			)

				# transform the tweepy tweets into a 2D array that will populate the csv
				snake_case_						:   Union[str, Any]           =  [[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:
								snake_case_						:   Dict           =  csv.writer(_UpperCamelCase			)
								writer.writerow(['''id''', '''created_at''', '''text''']			)
								writer.writerows(_UpperCamelCase			)


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







import random

from .binary_exp_mod import bin_exp_mod






def 					lowerCamelCase_						(    _UpperCamelCase			,    _UpperCamelCase=1_000			)		->						str:






				"""simple docstring"""


				if n < 2:
								return False

				if n % 2 == 0:
								return n == 2

				# this means n is odd
				snake_case_						:   int           =  n - 1
				snake_case_						:   Union[str, Any]           =  0
				while d % 2 == 0:
								d /= 2
								exp += 1

				# n - 1=d*(2**exp)
				snake_case_						:   List[Any]           =  0
				while count < prec:
								snake_case_						:   Tuple           =  random.randint(2			,    n - 1			)
								snake_case_						:   List[Any]           =  bin_exp_mod(_UpperCamelCase			,    _UpperCamelCase			,    _UpperCamelCase			)
								if b != 1:
												snake_case_						:   Any           =  True
												for _ in range(_UpperCamelCase			):
																if b == n - 1:
																				snake_case_						:   Tuple           =  False
																				break
																snake_case_						:   List[Any]           =  b * b
																b %= n
												if flag:
																return False
												count += 1
				return True


if __name__ == "__main__":
	lowerCAmelCase_    =    abs(int(input('''Enter bound : ''').strip()))
	print('''Here\'s the list of primes:''')
	print(''', '''.join(str(i) for i in range(n + 1) if is_prime_big(i)))
