






from __future__ import annotations

from queue import Queue




class 					UpperCamelCase	:




					def __init__( self :					str						):


							"""simple docstring"""




							__snake_case		       =     {}




					def 							UpperCamelCase_						( self :					Tuple						):


							"""simple docstring"""




							for i in self.vertices:
									print(_lowerCAmelCase      ," : "      ," -> ".join([str(_lowerCAmelCase						) for j in self.vertices[i]]						)						)




					def 							UpperCamelCase_						( self :					Tuple      ,_lowerCAmelCase :					int      ,_lowerCAmelCase :					int						):


							"""simple docstring"""




							if from_vertex in self.vertices:
									self.vertices[from_vertex].append(_lowerCAmelCase						)
							else:
									__snake_case		       =     [to_vertex]







					def 							UpperCamelCase_						( self :					Any      ,_lowerCAmelCase :					int						):


							"""simple docstring"""




							__snake_case		       =     set()

							# create a first in first out queue to store all the vertices for BFS
							__snake_case		       =     Queue()

							# mark the source node as visited and enqueue it
							visited.add(_lowerCAmelCase						)
							queue.put(_lowerCAmelCase						)

							while not queue.empty():
									__snake_case		       =     queue.get()

									# loop through all adjacent vertex and enqueue it if not yet visited
									for adjacent_vertex in self.vertices[vertex]:
											if adjacent_vertex not in visited:
													queue.put(_lowerCAmelCase						)
													visited.add(_lowerCAmelCase						)
							return visited


if __name__ == "__main__":
		from doctest import testmod

		testmod(verbose=True)

		lowerCamelCase__           =				Graph()
		g.add_edge(0, 1)
		g.add_edge(0, 2)
		g.add_edge(1, 2)
		g.add_edge(2, 0)
		g.add_edge(2, 3)
		g.add_edge(3, 3)

		g.print_graph()
		# 0  :  1 -> 2
		# 1  :  2
		# 2  :  0 -> 3
		# 3  :  3

		assert sorted(g.bfs(2)) == [0, 1, 2, 3]






import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_reformer import ReformerTokenizer
else:
		lowerCamelCase__           =				None


lowerCamelCase__           =				logging.get_logger(__name__)


lowerCamelCase__           =				'▁'

lowerCamelCase__           =				{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__           =				{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

lowerCamelCase__           =				{
    'google/reformer-crime-and-punishment': 52_42_88,
}




class 					UpperCamelCase	(     snake_case__      ):
					__UpperCamelCase						=   VOCAB_FILES_NAMES
					__UpperCamelCase						=   PRETRAINED_VOCAB_FILES_MAP
					__UpperCamelCase						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__UpperCamelCase						=   ["""input_ids""", """attention_mask"""]
					__UpperCamelCase						=   ReformerTokenizer




					def __init__( self :					Tuple      ,_lowerCAmelCase :					Dict=None      ,_lowerCAmelCase :					Union[str, Any]=None      ,_lowerCAmelCase :					int="</s>"      ,_lowerCAmelCase :					Dict="<unk>"      ,_lowerCAmelCase :					Dict=[]      ,**_lowerCAmelCase :					Optional[Any]      ,):


							"""simple docstring"""




							super().__init__(
							    _lowerCAmelCase      ,tokenizer_file=_lowerCAmelCase      ,eos_token=_lowerCAmelCase      ,unk_token=_lowerCAmelCase      ,additional_special_tokens=_lowerCAmelCase      ,**_lowerCAmelCase      ,)

							__snake_case		       =     vocab_file
							__snake_case		       =     False if not self.vocab_file else True







					def 							UpperCamelCase_						( self :					Dict      ,_lowerCAmelCase :					str      ,_lowerCAmelCase :					Optional[str] = None						):


							"""simple docstring"""




							if not self.can_save_slow_tokenizer:
									raise ValueError(
									    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
									    "tokenizer."						)

							if not os.path.isdir(_lowerCAmelCase						):
									logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""						)
									return
							__snake_case		       =     os.path.join(
							    _lowerCAmelCase      ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

							if os.path.abspath(self.vocab_file						) != os.path.abspath(_lowerCAmelCase						):
									copyfile(self.vocab_file      ,_lowerCAmelCase						)

							return (out_vocab_file,)





