
'''simple docstring'''







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

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


if is_sentencepiece_available():
					from .tokenization_xglm import XGLMTokenizer
else:
					_lowercase				:						str												= None


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

_lowercase				:						List[Any]												= {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

_lowercase				:						List[Any]												= {
    'vocab_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json',
    },
}

_lowercase				:						Tuple												= {
    'facebook/xglm-564M': 2_0_4_8,
}






class 				lowerCAmelCase__     (						_UpperCAmelCase  ):
					lowerCAmelCase_       =  VOCAB_FILES_NAMES
					lowerCAmelCase_       =  PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_       =  ['''input_ids''', '''attention_mask''']
					lowerCAmelCase_       =  XGLMTokenizer






					def __init__(     self       ,							__SCREAMING_SNAKE_CASE=None       ,							__SCREAMING_SNAKE_CASE=None       ,							__SCREAMING_SNAKE_CASE="<s>"       ,							__SCREAMING_SNAKE_CASE="</s>"       ,							__SCREAMING_SNAKE_CASE="</s>"       ,							__SCREAMING_SNAKE_CASE="<s>"       ,							__SCREAMING_SNAKE_CASE="<unk>"       ,							__SCREAMING_SNAKE_CASE="<pad>"       ,							**__SCREAMING_SNAKE_CASE       ,							):


											"""simple docstring"""





											lowercase_			:  Optional[Any]									= 7
											lowercase_			:  Optional[Any]									= [F'''<madeupword{i}>''' for i in range(self.num_madeup_words	)]

											lowercase_			:  Tuple									= kwargs.get('''additional_special_tokens'''       ,							[]	)
											kwargs["additional_special_tokens"] += [
											    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
											]

											super().__init__(
											    __SCREAMING_SNAKE_CASE       ,							tokenizer_file=__SCREAMING_SNAKE_CASE       ,							bos_token=__SCREAMING_SNAKE_CASE       ,							eos_token=__SCREAMING_SNAKE_CASE       ,							sep_token=__SCREAMING_SNAKE_CASE       ,							cls_token=__SCREAMING_SNAKE_CASE       ,							unk_token=__SCREAMING_SNAKE_CASE       ,							pad_token=__SCREAMING_SNAKE_CASE       ,							**__SCREAMING_SNAKE_CASE       ,							)

											lowercase_			:  int									= vocab_file
											lowercase_			:  Any									= False if not self.vocab_file else True






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE = None	):


											"""simple docstring"""





											if token_ids_a is None:
																	return [self.sep_token_id] + token_ids_a
											lowercase_			:  Any									= [self.sep_token_id]
											return sep + token_ids_a + sep + sep + token_ids_a






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE = None	):


											"""simple docstring"""





											lowercase_			:  Optional[int]									= [self.sep_token_id]

											if token_ids_a is None:
																	return len(sep + token_ids_a	) * [0]
											return len(sep + token_ids_a + sep + sep + token_ids_a	) * [0]






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE = 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(__SCREAMING_SNAKE_CASE	):
																	logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''	)
																	return
											lowercase_			:  Dict									= os.path.join(
											    __SCREAMING_SNAKE_CASE       ,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)

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

											return (out_vocab_file,)





'''simple docstring'''







from __future__ import annotations

from queue import Queue






class 				lowerCAmelCase__     :






					def __init__(     self	):


											"""simple docstring"""





											lowercase_			:  dict[int, list[int]]									= {}






					def 			_snake_case					(     self	):


											"""simple docstring"""





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






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											if from_vertex in self.vertices:
																	self.vertices[from_vertex].append(__SCREAMING_SNAKE_CASE	)
											else:
																	lowercase_			:  Optional[Any]									= [to_vertex]






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											lowercase_			:  List[Any]									= set()

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

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

											while not queue.empty():
																	lowercase_			:  List[Any]									= 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(__SCREAMING_SNAKE_CASE	)
																													visited.add(__SCREAMING_SNAKE_CASE	)
											return visited


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

							testmod(verbose=True)

							_lowercase				:						Optional[int]												= 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]



