



'''simple docstring'''






import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin

class        SCREAMING_SNAKE_CASE(							__lowercase							,	unittest.TestCase    ):







	"""simple docstring"""






	lowerCamelCase__    				= CTRLTokenizer
	lowerCamelCase__    				= False
	lowerCamelCase__    				= False







	def   A			(		self    :  str	)    ->	Optional[int]:
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								UpperCAmelCase				: Any											=	['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
								UpperCAmelCase				: Tuple											=	dict(zip(_A	,    range(len(_A	)	)	)	)
								UpperCAmelCase				: Any											=	['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
								UpperCAmelCase				: Optional[int]											=	{'''unk_token''': '''<unk>'''}

								UpperCAmelCase				: List[Any]											=	os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES['''vocab_file''']	)
								UpperCAmelCase				: int											=	os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES['''merges_file''']	)
								with open(self.vocab_file	,    '''w'''	,    encoding='''utf-8'''	) as fp:
															fp.write(json.dumps(_A	) + '''\n'''	)
								with open(self.merges_file	,    '''w'''	,    encoding='''utf-8'''	) as fp:
															fp.write('''\n'''.join(_A	)	)







	def   A			(		self    :  int	,    **__snake_case    :  List[Any]	)    ->	str:
								kwargs.update(self.special_tokens_map	)
								return CTRLTokenizer.from_pretrained(self.tmpdirname	,    **_A	)







	def   A			(		self    :  int	,    __snake_case    :  int	)    ->	List[Any]:
								UpperCAmelCase				: Optional[int]											=	'''adapt react readapt apt'''
								UpperCAmelCase				: Any											=	'''adapt react readapt apt'''
								return input_text, output_text







	def   A			(		self    :  Tuple	)    ->	Tuple:
								UpperCAmelCase				: Any											=	CTRLTokenizer(self.vocab_file	,    self.merges_file	,    **self.special_tokens_map	)
								UpperCAmelCase				: Optional[Any]											=	'''adapt react readapt apt'''
								UpperCAmelCase				: Union[str, Any]											=	'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
								UpperCAmelCase				: Optional[int]											=	tokenizer.tokenize(_A	)
								self.assertListEqual(_A	,    _A	)

								UpperCAmelCase				: List[str]											=	tokens + [tokenizer.unk_token]

								UpperCAmelCase				: Tuple											=	[0, 1, 2, 4, 5, 1, 0, 3, 6]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_A	)	,    _A	)










'''simple docstring'''






def 				snake_case_  (      _lowerCAmelCase						:		Tuple     ,   _lowerCAmelCase						:		Tuple     ,   _lowerCAmelCase						:		int     ,   _lowerCAmelCase						:		Tuple						)   ->     Union[str, Any]:
							# Return True if there is node that has not iterated.
							UpperCAmelCase				: Optional[Any]											=	[False] * len(_lowerCAmelCase						)
							UpperCAmelCase				: Dict											=	[]
							queue.append(_lowerCAmelCase						)
							UpperCAmelCase				: str											=	True

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

							return visited[t]


def 				snake_case_  (      _lowerCAmelCase						:		Union[str, Any]     ,   _lowerCAmelCase						:		List[str]     ,   _lowerCAmelCase						:		List[str]						)   ->     Any:
							# This array is filled by BFS and to store path
							UpperCAmelCase				: Dict											=	[-1] * (len(_lowerCAmelCase						))
							UpperCAmelCase				: Any											=	0
							while bfs(_lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase						):
														UpperCAmelCase				: List[str]											=	float('''Inf'''						)
														UpperCAmelCase				: str											=	sink

														while s != source:
																					# Find the minimum value in select path
																					UpperCAmelCase				: int											=	min(_lowerCAmelCase     ,   graph[parent[s]][s]						)
																					UpperCAmelCase				: Tuple											=	parent[s]

														max_flow += path_flow
														UpperCAmelCase				: Optional[Any]											=	sink

														while v != source:
																					UpperCAmelCase				: Dict											=	parent[v]
																					graph[u][v] -= path_flow
																					graph[v][u] += path_flow
																					UpperCAmelCase				: Dict											=	parent[v]
							return max_flow


UpperCamelCase__:     Tuple										=    [
    [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],
]

UpperCamelCase__			,      UpperCamelCase__:     int										=    0, 5




print(ford_fulkerson(graph, source, sink))





