






"""simple docstring"""




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

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


_snake_case          =   logging.get_logger(__name__)


_snake_case          =   {
    '''vocab_file''': '''vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
    '''merges_file''': '''merges.txt''',
}

_snake_case          =   {
    '''vocab_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'''
        ),
    },
    '''tokenizer_config_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'''
        ),
    },
    '''merges_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'''
        ),
    },
}

_snake_case          =   '''</w>'''
_snake_case          =   '''@@ '''

def 			lowerCAmelCase__     (     UpperCamelCase__				):



  '''simple docstring'''
  _a  :       str             =	set()
  _a  :       Tuple             =	word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)				)
    _a  :       List[Any]             =	char
  return pairs


# Speech2Text2 has no max input length
_snake_case          =   {'''facebook/s2t-wav2vec2-large-en-de''': 1024}






class        UpperCamelCase			(	__UpperCAmelCase      ):
 UpperCamelCase					:       Union[str, Any]			=					VOCAB_FILES_NAMES
 UpperCamelCase					:       Any			=					PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase					:       Dict			=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase					:       Optional[int]			=					['input_ids', 'attention_mask']


 def __init__(     self		:						int							,						UpperCAmelCase__		:						List[Any]							,						UpperCAmelCase__		:						Tuple="<s>"							,						UpperCAmelCase__		:						Optional[int]="<pad>"							,						UpperCAmelCase__		:						int="</s>"							,						UpperCAmelCase__		:						Optional[int]="<unk>"							,						UpperCAmelCase__		:						Union[str, Any]=False							,						UpperCAmelCase__		:						Any=None							,						**UpperCAmelCase__		:						Tuple							,						)					->       str:
   super().__init__(
       unk_token=UpperCAmelCase__							,						bos_token=UpperCAmelCase__							,						eos_token=UpperCAmelCase__							,						pad_token=UpperCAmelCase__							,						do_lower_case=UpperCAmelCase__							,						**UpperCAmelCase__							,						)

   _a  :       Dict             =	do_lower_case

   with open(UpperCAmelCase__							,						encoding="""utf-8"""							) as vocab_handle:
     _a  :       List[Any]             =	json.load(UpperCAmelCase__							)
   _a  :       Any             =	{v: k for k, v in self.encoder.items()}

   if merges_file is None:
     logger.info(f"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""							)

     _a  :       Tuple             =	None
     _a  :       List[Any]             =	None
   else:
     with open(UpperCAmelCase__							,						encoding="""utf-8"""							) as merges_handle:
       _a  :       List[str]             =	merges_handle.read().split("""\n"""							)[:-1]

     _a  :       Union[str, Any]             =	[tuple(merge.split()[:2]							) for merge in merges]
     _a  :       Tuple             =	dict(zip(UpperCAmelCase__							,						range(len(UpperCAmelCase__							)							)							)							)
     _a  :       List[Any]             =	{}


 @property
 def _lowercase	(     self		:						int							)					->       int:
   return len(self.decoder							)


 def _lowercase	(     self		:						Optional[int]							)					->       List[Any]:
   return dict(self.encoder							,						**self.added_tokens_encoder							)


 def _lowercase	(     self		:						Union[str, Any]							,						UpperCAmelCase__		:						Union[str, Any]							)					->       Optional[Any]:
   _a  :       str             =	tuple(token[:-1]							) + (token[-1] + BPE_TOKEN_MERGES,)
   if token in self.cache:
     return self.cache[token]
   _a  :       Optional[int]             =	get_pairs(UpperCAmelCase__							)

   if not pairs:
     return token

   while True:
     _a  :       Any             =	min(UpperCAmelCase__							,						key=lambda UpperCAmelCase__							: self.bpe_ranks.get(UpperCAmelCase__							,						float("""inf"""							)							)							)
     if bigram not in self.bpe_ranks:
       break
     _a  :       Any             =	bigram
     _a  :       Optional[Any]             =	[]
     _a  :       Optional[int]             =	0
     while i < len(UpperCAmelCase__							):
       try:
         _a  :       Tuple             =	word.index(UpperCAmelCase__							,						UpperCAmelCase__							)
       except ValueError:
         new_word.extend(word[i:]							)
         break
       else:
         new_word.extend(word[i:j]							)
         _a  :       List[str]             =	j

       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
     _a  :       Optional[Any]             =	tuple(UpperCAmelCase__							)
     _a  :       List[str]             =	new_word
     if len(UpperCAmelCase__							) == 1:
       break
     else:
       _a  :       Dict             =	get_pairs(UpperCAmelCase__							)
   _a  :       str             =	""" """.join(UpperCAmelCase__							)
   if word == "\n  " + BPE_TOKEN_MERGES:
     _a  :       Dict             =	"""\n""" + BPE_TOKEN_MERGES

   if word.endswith(UpperCAmelCase__							):
     _a  :       int             =	word.replace(UpperCAmelCase__							,						""""""							)

   _a  :       int             =	word.replace(""" """							,						UpperCAmelCase__							)
   _a  :       Dict             =	word
   return word


 def _lowercase	(     self		:						Tuple							,						UpperCAmelCase__		:						str							)					->       Tuple:

   if self.bpe_ranks is None:
     raise ValueError(
         """This tokenizer was instantiated without a `merges.txt` file, so"""
         """ that it can only be used for decoding, not for encoding."""
         """Make sure to provide `merges.txt` file at instantiation to enable """
         """encoding."""							)

   if self.do_lower_case:
     _a  :       List[str]             =	text.lower()

   _a  :       int             =	text.split()

   _a  :       str             =	[]
   for token in text:
     if token:
       split_tokens.extend(list(self.bpe(UpperCAmelCase__							).split(""" """							)							)							)

   return split_tokens


 def _lowercase	(     self		:						List[Any]							,						UpperCAmelCase__		:						Union[str, Any]							)					->       List[Any]:
   return self.encoder.get(UpperCAmelCase__							,						self.encoder.get(self.unk_token							)							)


 def _lowercase	(     self		:						Any							,						UpperCAmelCase__		:						Dict							)					->       str:
   _a  :       Union[str, Any]             =	self.decoder.get(UpperCAmelCase__							,						self.unk_token							)
   return result


 def _lowercase	(     self		:						Union[str, Any]							,						UpperCAmelCase__		:						Optional[Any]							)					->       List[str]:
   _a  :       List[str]             =	""" """.join(UpperCAmelCase__							)

   # make sure @@ tokens are concatenated
   _a  :       int             =	"""""".join(string.split(UpperCAmelCase__							)							)

   return string







 def _lowercase	(     self		:						Optional[Any]							,						UpperCAmelCase__		:						List[Any]							,						UpperCAmelCase__		:						Optional[Any] = None							)					->       Optional[int]:
   if not os.path.isdir(UpperCAmelCase__							):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
     return
   _a  :       Any             =	os.path.join(
       UpperCAmelCase__							,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
   _a  :       Tuple             =	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"""							)

   _a  :       Optional[Any]             =	0
   if self.bpe_ranks is None:
     return (vocab_file,)

   with open(UpperCAmelCase__							,						"""w"""							,						encoding="""utf-8"""							) as writer:
     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 {merges_file}: BPE merge indices are not consecutive."""
             """ Please check that the tokenizer is not corrupted!"""							)
         _a  :       Optional[int]             =	token_index
       writer.write(""" """.join(UpperCAmelCase__							) + """\n"""							)
       index += 1

   return (vocab_file, merges_file)






'''simple docstring'''




# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

lowerCamelCase							:str				    =					TypeVar('''T''')







class 	_lowerCAmelCase							(			Generic[T] ):


	def __init__(self       ,      lowercase = True							):
				A_	:						dict[T, list[T]]	=     {}  # dictionary of lists
				A_	:						Any	=     directed


	def     _a	(self       ,      lowercase       ,      lowercase							):

				if not self.directed:  # For undirected graphs
							# if both source vertex and destination vertex are both present in the
							# adjacency list, add destination vertex to source vertex list of adjacent
							# vertices and add source vertex to destination vertex list of adjacent
							# vertices.
							if source_vertex in self.adj_list and destination_vertex in self.adj_list:
										self.adj_list[source_vertex].append(lowercase							)
										self.adj_list[destination_vertex].append(lowercase							)
							# if only source vertex is present in adjacency list, add destination vertex
							# to source vertex list of adjacent vertices, then create a new vertex with
							# destination vertex as key and assign a list containing the source vertex
							# as it's first adjacent vertex.
							elif source_vertex in self.adj_list:
										self.adj_list[source_vertex].append(lowercase							)
										A_	:						Dict	=     [source_vertex]
							# if only destination vertex is present in adjacency list, add source vertex
							# to destination vertex list of adjacent vertices, then create a new vertex
							# with source vertex as key and assign a list containing the source vertex
							# as it's first adjacent vertex.
							elif destination_vertex in self.adj_list:
										self.adj_list[destination_vertex].append(lowercase							)
										A_	:						int	=     [destination_vertex]
							# if both source vertex and destination vertex are not present in adjacency
							# list, create a new vertex with source vertex as key and assign a list
							# containing the destination vertex as it's first adjacent vertex also
							# create a new vertex with destination vertex as key and assign a list
							# containing the source vertex as it's first adjacent vertex.
							else:
										A_	:						Optional[Any]	=     [destination_vertex]
										A_	:						Tuple	=     [source_vertex]
				else:  # For directed graphs
							# if both source vertex and destination vertex are present in adjacency
							# list, add destination vertex to source vertex list of adjacent vertices.
							if source_vertex in self.adj_list and destination_vertex in self.adj_list:
										self.adj_list[source_vertex].append(lowercase							)
							# if only source vertex is present in adjacency list, add destination
							# vertex to source vertex list of adjacent vertices and create a new vertex
							# with destination vertex as key, which has no adjacent vertex
							elif source_vertex in self.adj_list:
										self.adj_list[source_vertex].append(lowercase							)
										A_	:						Tuple	=     []
							# if only destination vertex is present in adjacency list, create a new
							# vertex with source vertex as key and assign a list containing destination
							# vertex as first adjacent vertex
							elif destination_vertex in self.adj_list:
										A_	:						Tuple	=     [destination_vertex]
							# if both source vertex and destination vertex are not present in adjacency
							# list, create a new vertex with source vertex as key and a list containing
							# destination vertex as it's first adjacent vertex. Then create a new vertex
							# with destination vertex as key, which has no adjacent vertex
							else:
										A_	:						int	=     [destination_vertex]
										A_	:						List[str]	=     []

				return self


	def __repr__(self							):
				return pformat(self.adj_list							)