






"""simple docstring"""



import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation


A__			:							Optional[int]					   =   logging.get_logger(__name__)

A__			:							int					   =   {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

A__			:							Any					   =   {
    'tokenizer_file': {
        'EleutherAI/gpt-neox-20b': 'https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json',
    },
}

A__			:							Dict					   =   {
    'gpt-neox-20b': 2_048,
}







class   lowercase__     (				snake_case__  ):
			_UpperCAmelCase						:List[str]       =					VOCAB_FILES_NAMES
			_UpperCAmelCase						:List[Any]       =					PRETRAINED_VOCAB_FILES_MAP
			_UpperCAmelCase						:Dict       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_UpperCAmelCase						:int       =					["""input_ids""", """attention_mask"""]


			def __init__( self	:    Union[str, Any]  ,			snake_case__	:    Union[str, Any]=None  ,			snake_case__	:    List[str]=None  ,			snake_case__	:    List[Any]=None  ,			snake_case__	:    Tuple="<|endoftext|>"  ,			snake_case__	:    Union[str, Any]="<|endoftext|>"  ,			snake_case__	:    List[Any]="<|endoftext|>"  ,			snake_case__	:    Tuple=False  ,			**snake_case__	:    Dict  ,			):
										super().__init__(
										    snake_case__  ,			snake_case__  ,			tokenizer_file=snake_case__  ,			unk_token=snake_case__  ,			bos_token=snake_case__  ,			eos_token=snake_case__  ,			add_prefix_space=snake_case__  ,			**snake_case__  ,			)

										lowerCamelCase_			:				str										=json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()   )
										if pre_tok_state.get("add_prefix_space"  ,			snake_case__   ) != add_prefix_space:
																	lowerCamelCase_			:				Dict										=getattr(snake_case__  ,			pre_tok_state.pop("type"   )   )
																	lowerCamelCase_			:				Optional[int]										=add_prefix_space
																	lowerCamelCase_			:				List[Any]										=pre_tok_class(**snake_case__   )

										lowerCamelCase_			:				List[Any]										=add_prefix_space


			def       UpperCAmelCase__		( self	:    Optional[Any]  ,			snake_case__	:    str  ,			snake_case__	:    Optional[str] = None   ):
										lowerCamelCase_			:				int										=self._tokenizer.model.save(snake_case__  ,			name=snake_case__   )
										return tuple(snake_case__   )


			def       UpperCAmelCase__		( self	:    str  ,			snake_case__	:    "Conversation"   ):
										lowerCamelCase_			:				Dict										=[]
										for is_user, text in conversation.iter_texts():
																	input_ids.extend(self.encode(snake_case__  ,			add_special_tokens=snake_case__   ) + [self.eos_token_id]   )

										if len(snake_case__   ) > self.model_max_length:
																	lowerCamelCase_			:				Union[str, Any]										=input_ids[-self.model_max_length :]
										return input_ids







def     lowercase	(    a     , a     , a     , a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:int				     =						[False] * len(a )
		SCREAMING_SNAKE_CASE_				:List[Any]				     =						[]
		queue.append(a )
		SCREAMING_SNAKE_CASE_				:int				     =						True

		while queue:
				SCREAMING_SNAKE_CASE_				:int				     =						queue.pop(0 )
				for ind in range(len(graph[u] ) ):
						if visited[ind] is False and graph[u][ind] > 0:
								queue.append(a )
								SCREAMING_SNAKE_CASE_				:Tuple				     =						True
								SCREAMING_SNAKE_CASE_				:Optional[int]				     =						u

		return visited[t]


def     lowercase	(    a     , a     , a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:Any				     =						[-1] * (len(a ))
		SCREAMING_SNAKE_CASE_				:Tuple				     =						0
		while bfs(a     , a     , a     , a ):
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						float("Inf" )
				SCREAMING_SNAKE_CASE_				:str				     =						sink

				while s != source:
						# Find the minimum value in select path
						SCREAMING_SNAKE_CASE_				:str				     =						min(a     , graph[parent[s]][s] )
						SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						parent[s]

				max_flow += path_flow
				SCREAMING_SNAKE_CASE_				:Dict				     =						sink

				while v != source:
						SCREAMING_SNAKE_CASE_				:int				     =						parent[v]
						graph[u][v] -= path_flow
						graph[v][u] += path_flow
						SCREAMING_SNAKE_CASE_				:Any				     =						parent[v]
		return max_flow


SCREAMING_SNAKE_CASE__     					=			[
    [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],
]

SCREAMING_SNAKE_CASE__					,    SCREAMING_SNAKE_CASE__     					=			0, 5
print(ford_fulkerson(graph, source, sink))






