



'''simple docstring'''

import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


snake_case_			=     logging.get_logger(__name__)


snake_case_			=     {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

snake_case_			=     {
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

snake_case_			=     {"""facebook/blenderbot_small-90M""": 512}






def       __lowercase  (_SCREAMING_SNAKE_CASE      :Any       ):
				SCREAMING_SNAKE_CASE  :						Optional[int]      					= set()
				SCREAMING_SNAKE_CASE  :						Optional[int]      					= word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)       )
								SCREAMING_SNAKE_CASE  :						List[str]      					= char

				SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= set(_SCREAMING_SNAKE_CASE       )
				return pairs




class 	a__     (				_lowercase	):
	__magic_name__		:    Tuple	    =     VOCAB_FILES_NAMES
	__magic_name__		:    Optional[Any]	    =     PRETRAINED_VOCAB_FILES_MAP
	__magic_name__		:    List[str]	    =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__magic_name__		:    str	    =     ["input_ids", "attention_mask"]


	def __init__(self : Optional[Any],					__UpperCAmelCase : Optional[Any],					__UpperCAmelCase : int,					__UpperCAmelCase : str="__start__",					__UpperCAmelCase : Optional[Any]="__end__",					__UpperCAmelCase : Dict="__unk__",					__UpperCAmelCase : List[Any]="__null__",					**__UpperCAmelCase : Any,					)     ->			Any:

					"""simple docstring"""

					super().__init__(unk_token=__UpperCAmelCase,					bos_token=__UpperCAmelCase,					eos_token=__UpperCAmelCase,					pad_token=__UpperCAmelCase,					**__UpperCAmelCase      )

					with open(__UpperCAmelCase,					encoding='''utf-8'''      ) as vocab_handle:
									SCREAMING_SNAKE_CASE  :						Optional[Any]      					= json.load(__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						Any      					= {v: k for k, v in self.encoder.items()}
					with open(__UpperCAmelCase,					encoding='''utf-8'''      ) as merges_handle:
									SCREAMING_SNAKE_CASE  :						List[str]      					= merges_handle.read().split('''\n'''      )[1:-1]
					SCREAMING_SNAKE_CASE  :						Dict      					= [tuple(merge.split()      ) for merge in merges]
					SCREAMING_SNAKE_CASE  :						List[str]      					= dict(zip(__UpperCAmelCase,					range(len(__UpperCAmelCase      )      )      )      )
					SCREAMING_SNAKE_CASE  :						List[str]      					= {}


	@property
	def 				lowercase__  (self : Optional[int]      )     ->			int:

					"""simple docstring"""

					return len(self.encoder      )


	def 				lowercase__  (self : str      )     ->			Dict:

					"""simple docstring"""

					return dict(self.encoder,					**self.added_tokens_encoder      )


	def 				lowercase__  (self : Union[str, Any],					__UpperCAmelCase : str      )     ->			str:

					"""simple docstring"""

					if token in self.cache:
									return self.cache[token]
					SCREAMING_SNAKE_CASE  :						Tuple      					= re.sub('''([.,!?()])''',					R''' \1''',					__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						Optional[int]      					= re.sub('''(\')''',					R''' \1 ''',					__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						Optional[int]      					= re.sub(R'''\s{2,}''',					''' ''',					__UpperCAmelCase      )
					if "\n" in token:
									SCREAMING_SNAKE_CASE  :						int      					= token.replace('''\n''',					''' __newln__'''      )

					SCREAMING_SNAKE_CASE  :						Any      					= token.split(''' '''      )
					SCREAMING_SNAKE_CASE  :						Dict      					= []
					for token in tokens:
									if not len(__UpperCAmelCase      ):
													continue

									SCREAMING_SNAKE_CASE  :						Tuple      					= token.lower()
									SCREAMING_SNAKE_CASE  :						List[str]      					= tuple(__UpperCAmelCase      )
									SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= tuple(list(word[:-1]      ) + [word[-1] + '''</w>''']      )
									SCREAMING_SNAKE_CASE  :						Optional[Any]      					= get_pairs(__UpperCAmelCase      )

									if not pairs:
													words.append(__UpperCAmelCase      )
													continue

									while True:
													SCREAMING_SNAKE_CASE  :						int      					= min(__UpperCAmelCase,					key=lambda __UpperCAmelCase      : self.bpe_ranks.get(__UpperCAmelCase,					float('''inf'''      )      )      )
													if bigram not in self.bpe_ranks:
																	break
													SCREAMING_SNAKE_CASE					,					SCREAMING_SNAKE_CASE  :						List[str]      					= bigram
													SCREAMING_SNAKE_CASE  :						Any      					= []
													SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= 0

													while i < len(__UpperCAmelCase      ):
																	try:
																					SCREAMING_SNAKE_CASE  :						Tuple      					= word.index(__UpperCAmelCase,					__UpperCAmelCase      )
																					new_word.extend(word[i:j]      )
																					SCREAMING_SNAKE_CASE  :						List[Any]      					= j
																	except ValueError:
																					new_word.extend(word[i:]      )
																					break

																	if word[i] == first and i < len(__UpperCAmelCase      ) - 1 and word[i + 1] == second:
																					new_word.append(first + second      )
																					i += 2
																	else:
																					new_word.append(word[i]      )
																					i += 1
													SCREAMING_SNAKE_CASE  :						Dict      					= tuple(__UpperCAmelCase      )
													SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= new_word
													if len(__UpperCAmelCase      ) == 1:
																	break
													else:
																	SCREAMING_SNAKE_CASE  :						Dict      					= get_pairs(__UpperCAmelCase      )
									SCREAMING_SNAKE_CASE  :						Optional[Any]      					= '''@@ '''.join(__UpperCAmelCase      )
									SCREAMING_SNAKE_CASE  :						List[Any]      					= word[:-4]

									SCREAMING_SNAKE_CASE  :						Optional[int]      					= word
									words.append(__UpperCAmelCase      )
					return " ".join(__UpperCAmelCase      )


	def 				lowercase__  (self : int,					__UpperCAmelCase : str      )     ->			List[str]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						int      					= []

					SCREAMING_SNAKE_CASE  :						List[str]      					= re.findall(R'''\S+\n?''',					__UpperCAmelCase      )

					for token in words:
									split_tokens.extend(list(self.bpe(__UpperCAmelCase      ).split(''' '''      )      )      )
					return split_tokens


	def 				lowercase__  (self : Optional[int],					__UpperCAmelCase : str      )     ->			int:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						List[Any]      					= token.lower()
					return self.encoder.get(__UpperCAmelCase,					self.encoder.get(self.unk_token      )      )


	def 				lowercase__  (self : str,					__UpperCAmelCase : int      )     ->			str:

					"""simple docstring"""

					return self.decoder.get(__UpperCAmelCase,					self.unk_token      )


	def 				lowercase__  (self : Any,					__UpperCAmelCase : List[str]      )     ->			str:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						str      					= ''' '''.join(__UpperCAmelCase      ).replace('''@@ ''',					''''''      ).strip()
					return out_string






	def 				lowercase__  (self : int,					__UpperCAmelCase : str,					__UpperCAmelCase : Optional[str] = None      )     ->			Tuple[str]:

					"""simple docstring"""

					if not os.path.isdir(__UpperCAmelCase      ):
									logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
									return
					SCREAMING_SNAKE_CASE  :						Dict      					= os.path.join(
					    __UpperCAmelCase,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
					SCREAMING_SNAKE_CASE  :						Any      					= os.path.join(
					    __UpperCAmelCase,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']      )

					with open(__UpperCAmelCase,					'''w''',					encoding='''utf-8'''      ) as f:
									f.write(json.dumps(self.encoder,					indent=2,					sort_keys=__UpperCAmelCase,					ensure_ascii=__UpperCAmelCase      ) + '''\n'''      )

					SCREAMING_SNAKE_CASE  :						List[Any]      					= 0
					with open(__UpperCAmelCase,					'''w''',					encoding='''utf-8'''      ) as writer:
									writer.write('''#version: 0.2\n'''      )
									for bpe_tokens, token_index in sorted(self.bpe_ranks.items(),					key=lambda __UpperCAmelCase      : kv[1]      ):
													if index != token_index:
																	logger.warning(
																	    F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																	    ''' Please check that the tokenizer is not corrupted!'''      )
																	SCREAMING_SNAKE_CASE  :						int      					= token_index
													writer.write(''' '''.join(__UpperCAmelCase      ) + '''\n'''      )
													index += 1

					return vocab_file, merge_file









'''simple docstring'''

from collections import deque






def       __lowercase  (_SCREAMING_SNAKE_CASE      :List[str]       ):
				SCREAMING_SNAKE_CASE  :						Optional[Any]      					= len(_SCREAMING_SNAKE_CASE       )
				SCREAMING_SNAKE_CASE  :						List[str]      					= deque()
				SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= [False for _ in range(_SCREAMING_SNAKE_CASE       )]
				SCREAMING_SNAKE_CASE  :						Any      					= [-1 for _ in range(_SCREAMING_SNAKE_CASE       )]
				SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= index_of[:]

				def strong_connect(_SCREAMING_SNAKE_CASE      :List[str]    ,	_SCREAMING_SNAKE_CASE      :Any    ,	_SCREAMING_SNAKE_CASE      :List[str]       ):
								SCREAMING_SNAKE_CASE  :						Any      					= index  # the number when this node is seen
								SCREAMING_SNAKE_CASE  :						str      					= index  # lowest rank node reachable from here
								index += 1
								stack.append(_SCREAMING_SNAKE_CASE       )
								SCREAMING_SNAKE_CASE  :						Optional[int]      					= True

								for w in g[v]:
												if index_of[w] == -1:
																SCREAMING_SNAKE_CASE  :						List[str]      					= strong_connect(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE       )
																SCREAMING_SNAKE_CASE  :						Optional[int]      					= (
																    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
																)
												elif on_stack[w]:
																SCREAMING_SNAKE_CASE  :						List[str]      					= (
																    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
																)

								if lowlink_of[v] == index_of[v]:
												SCREAMING_SNAKE_CASE  :						str      					= []
												SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= stack.pop()
												SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= False
												component.append(_SCREAMING_SNAKE_CASE       )
												while w != v:
																SCREAMING_SNAKE_CASE  :						int      					= stack.pop()
																SCREAMING_SNAKE_CASE  :						Tuple      					= False
																component.append(_SCREAMING_SNAKE_CASE       )
												components.append(_SCREAMING_SNAKE_CASE       )
								return index

				SCREAMING_SNAKE_CASE  :						int      					= []
				for v in range(_SCREAMING_SNAKE_CASE       ):
								if index_of[v] == -1:
												strong_connect(_SCREAMING_SNAKE_CASE    ,	0    ,	_SCREAMING_SNAKE_CASE       )

				return components






def       __lowercase  (_SCREAMING_SNAKE_CASE      :List[str]    ,	_SCREAMING_SNAKE_CASE      :Optional[int]       ):
				SCREAMING_SNAKE_CASE  :						Tuple      					= [[] for _ in range(_SCREAMING_SNAKE_CASE       )]
				for u, v in edges:
								g[u].append(_SCREAMING_SNAKE_CASE       )
				return g


if __name__ == "__main__":
	# Test
	snake_case_			=     7
	snake_case_			=     [0, 0, 1, 2, 3, 3, 4, 4, 6]
	snake_case_			=     [1, 3, 2, 0, 1, 4, 5, 6, 5]
	snake_case_			=     [(u, v) for u, v in zip(source, target)]
	snake_case_			=     create_graph(n_vertices, edges)

	assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)




