





"""simple docstring"""






import csv

import tweepy

# Twitter API credentials
__UpperCAmelCase						=			''''''
__UpperCAmelCase						=			''''''
__UpperCAmelCase						=			''''''
__UpperCAmelCase						=			''''''






def      lowercase__ (					lowerCAmelCase__   :			str			)    ->			None:



			'''simple docstring'''
			# authorize twitter, initialize tweepy
			a__  :	Any		 =			tweepy.OAuthHandler(lowerCAmelCase__							,			lowerCAmelCase__			)
			auth.set_access_token(lowerCAmelCase__							,			lowerCAmelCase__			)
			a__  :	Dict		 =			tweepy.API(lowerCAmelCase__			)

			# initialize a list to hold all the tweepy Tweets
			a__  :	Union[str, Any]		 =			[]

			# make initial request for most recent tweets (200 is the maximum allowed count)
			a__  :	Optional[Any]		 =			api.user_timeline(screen_name=lowerCAmelCase__							,			count=2_0_0			)

			# save most recent tweets
			alltweets.extend(lowerCAmelCase__			)

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

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

						# all subsequent requests use the max_id param to prevent duplicates
						a__  :	Optional[Any]		 =			api.user_timeline(
						    screen_name=lowerCAmelCase__							,			count=2_0_0							,			max_id=lowerCAmelCase__			)

						# save most recent tweets
						alltweets.extend(lowerCAmelCase__			)

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

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

			# transform the tweepy tweets into a 2D array that will populate the csv
			a__  :	str		 =			[[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:
						a__  :	Optional[Any]		 =			csv.writer(lowerCAmelCase__			)
						writer.writerow(["id", "created_at", "text"]			)
						writer.writerows(lowerCAmelCase__			)


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






"""simple docstring"""






__UpperCAmelCase						=			[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]






def      lowercase__ (					lowerCAmelCase__   :			Dict							,			lowerCAmelCase__   :			Optional[int]							,			lowerCAmelCase__   :			List[str]							,			lowerCAmelCase__   :			Tuple			)    ->			Dict:



			'''simple docstring'''
			# Return True if there is node that has not iterated.
			a__  :	int		 =			[False] * len(lowerCAmelCase__			)
			a__  :	Optional[Any]		 =			[s]
			a__  :	Optional[int]		 =			True

			while queue:
						a__  :	Any		 =			queue.pop(0			)
						for ind in range(len(graph[u]			)			):
									if visited[ind] is False and graph[u][ind] > 0:
												queue.append(lowerCAmelCase__			)
												a__  :	Any		 =			True
												a__  :	Union[str, Any]		 =			u

			return visited[t]






def      lowercase__ (					lowerCAmelCase__   :			List[str]							,			lowerCAmelCase__   :			List[Any]							,			lowerCAmelCase__   :			Optional[Any]			)    ->			Any:



			'''simple docstring'''
			a__  :	Any		 =			[-1] * (len(lowerCAmelCase__			))
			a__  :	Any		 =			0
			a__  :	List[str]		 =			[]
			a__  :	Tuple		 =			[i[:] for i in graph]  # Record original cut, copy.
			while bfs(lowerCAmelCase__							,			lowerCAmelCase__							,			lowerCAmelCase__							,			lowerCAmelCase__			):
						a__  :	Any		 =			float("Inf"			)
						a__  :	Optional[int]		 =			sink

						while s != source:
									# Find the minimum value in select path
									a__  :	Union[str, Any]		 =			min(lowerCAmelCase__							,			graph[parent[s]][s]			)
									a__  :	List[str]		 =			parent[s]

						max_flow += path_flow
						a__  :	List[str]		 =			sink

						while v != source:
									a__  :	int		 =			parent[v]
									graph[u][v] -= path_flow
									graph[v][u] += path_flow
									a__  :	List[str]		 =			parent[v]

			for i in range(len(lowerCAmelCase__			)			):
						for j in range(len(graph[0]			)			):
									if graph[i][j] == 0 and temp[i][j] > 0:
												res.append((i, j)			)

			return res


if __name__ == "__main__":
		print(mincut(test_graph, source=0, sink=5))