






"""simple docstring"""





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

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


A__					: List[Any]=	logging.get_logger(__name__)


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

A__					: Optional[Any]=	{
    '''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'''
        ),
    },
}

A__					: Optional[Any]=	'''</w>'''
A__					: Union[str, Any]=	'''@@ '''







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Any:
    """simple docstring"""

    UpperCamelCase__         =    set()
    UpperCamelCase__         =    word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)					)
        UpperCamelCase__         =    char
    return pairs


# Speech2Text2 has no max input length
A__					: int=	{'''facebook/s2t-wav2vec2-large-en-de''': 10_24}





class    __lowerCamelCase    (  __a  ):
   a      :				str 						=VOCAB_FILES_NAMES
   a      :				List[str] 						=PRETRAINED_VOCAB_FILES_MAP
   a      :				Optional[int] 						=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   a      :				str 						=['''input_ids''', '''attention_mask''']

   def __init__(					self ,				snake_case_ ,				snake_case_="<s>" ,				snake_case_="<pad>" ,				snake_case_="</s>" ,				snake_case_="<unk>" ,				snake_case_=False ,				snake_case_=None ,				**snake_case_ ,				)		->       Optional[Any]:
       super().__init__(
           unk_token=snake_case__ ,				bos_token=snake_case__ ,				eos_token=snake_case__ ,				pad_token=snake_case__ ,				do_lower_case=snake_case__ ,				**snake_case__ ,				)

       UpperCamelCase__         =    do_lower_case

       with open(snake_case__ ,				encoding='utf-8'      ) as vocab_handle:
           UpperCamelCase__         =    json.load(snake_case__      )
       UpperCamelCase__         =    {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.'      )

           UpperCamelCase__         =    None
           UpperCamelCase__         =    None
       else:
           with open(snake_case__ ,				encoding='utf-8'      ) as merges_handle:
               UpperCamelCase__         =    merges_handle.read().split('\n'      )[:-1]

           UpperCamelCase__         =    [tuple(merge.split()[:2]      ) for merge in merges]
           UpperCamelCase__         =    dict(zip(snake_case__ ,				range(len(snake_case__      )      )      )      )
           UpperCamelCase__         =    {}

   @property
   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[str]:
       return len(self.decoder      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       str:
       return dict(self.encoder ,				**self.added_tokens_encoder      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       Any:
       UpperCamelCase__         =    tuple(token[:-1]      ) + (token[-1] + BPE_TOKEN_MERGES,)
       if token in self.cache:
           return self.cache[token]
       UpperCamelCase__         =    get_pairs(snake_case__      )

       if not pairs:
           return token

       while True:
           UpperCamelCase__         =    min(snake_case__ ,				key=lambda snake_case_      : self.bpe_ranks.get(snake_case__ ,				float('inf'      )      )      )
           if bigram not in self.bpe_ranks:
               break
           UpperCamelCase__       ,						UpperCamelCase__         =    bigram
           UpperCamelCase__         =    []
           UpperCamelCase__         =    0
           while i < len(snake_case__      ):
               try:
                   UpperCamelCase__         =    word.index(snake_case__ ,				snake_case__      )
               except ValueError:
                   new_word.extend(word[i:]      )
                   break
               else:
                   new_word.extend(word[i:j]      )
                   UpperCamelCase__         =    j

               if word[i] == first and i < len(snake_case__      ) - 1 and word[i + 1] == second:
                   new_word.append(first + second      )
                   i += 2
               else:
                   new_word.append(word[i]      )
                   i += 1
           UpperCamelCase__         =    tuple(snake_case__      )
           UpperCamelCase__         =    new_word
           if len(snake_case__      ) == 1:
               break
           else:
               UpperCamelCase__         =    get_pairs(snake_case__      )
       UpperCamelCase__         =    ' '.join(snake_case__      )
       if word == "\n  " + BPE_TOKEN_MERGES:
           UpperCamelCase__         =    '\n' + BPE_TOKEN_MERGES

       if word.endswith(snake_case__      ):
           UpperCamelCase__         =    word.replace(snake_case__ ,				''      )

       UpperCamelCase__         =    word.replace(' ' ,				snake_case__      )
       UpperCamelCase__         =    word
       return word

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       Dict:

       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:
           UpperCamelCase__         =    text.lower()

       UpperCamelCase__         =    text.split()

       UpperCamelCase__         =    []
       for token in text:
           if token:
               split_tokens.extend(list(self.bpe(snake_case__      ).split(' '      )      )      )

       return split_tokens

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       List[str]:
       return self.encoder.get(snake_case__ ,				self.encoder.get(self.unk_token      )      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       Any:
       UpperCamelCase__         =    self.decoder.get(snake_case__ ,				self.unk_token      )
       return result

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       List[str]:
       UpperCamelCase__         =    ' '.join(snake_case__      )

       # make sure @@ tokens are concatenated
       UpperCamelCase__         =    ''.join(string.split(snake_case__      )      )

       return string







   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_ = None      )		->       Tuple:
       if not os.path.isdir(snake_case__      ):
           logger.error(F'Vocabulary path ({save_directory}) should be a directory'      )
           return
       UpperCamelCase__         =    os.path.join(
           snake_case__ ,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
       UpperCamelCase__         =    os.path.join(
           snake_case__ ,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']      )

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

       UpperCamelCase__         =    0
       if self.bpe_ranks is None:
           return (vocab_file,)

       with open(snake_case__ ,				'w' ,				encoding='utf-8'      ) as writer:
           for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,				key=lambda snake_case_      : 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!'      )
                   UpperCamelCase__         =    token_index
               writer.write(' '.join(snake_case__      ) + '\n'      )
               index += 1

       return (vocab_file, merges_file)












"""simple docstring"""





from __future__ import annotations

from typing import Generic, TypeVar

A__					: Any=	TypeVar("""T""")
class    __lowerCamelCase    (  Generic[T]  ):

   def __init__(					self ,				snake_case_      )		->       None:
       UpperCamelCase__         =    data
       UpperCamelCase__         =    self
       UpperCamelCase__         =    0







class    __lowerCamelCase    (  Generic[T]  ):

   def __init__(					self      )		->       None:
       # map from node name to the node object
       UpperCamelCase__         =    {}

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       None:
       # create a new set with x as its member
       UpperCamelCase__         =    DisjointSetTreeNode(snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       DisjointSetTreeNode[T]:
       # find the set x belongs to (with path-compression)
       UpperCamelCase__         =    self.map[data]
       if elem_ref != elem_ref.parent:
           UpperCamelCase__         =    self.find_set(elem_ref.parent.data      )
       return elem_ref.parent

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_      )		->       None:
       # helper function for union operation
       if nodea.rank > nodea.rank:
           UpperCamelCase__         =    nodea
       else:
           UpperCamelCase__         =    nodea
           if nodea.rank == nodea.rank:
               nodea.rank += 1







   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_      )		->       None:
       # merge 2 disjoint sets
       self.link(self.find_set(snake_case_      ) ,				self.find_set(snake_case_      )      )







class    __lowerCamelCase    (  Generic[T]  ):

   def __init__(					self      )		->       None:
       # connections: map from the node to the neighbouring nodes (with weights)
       UpperCamelCase__         =    {}

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       None:
       # add a node ONLY if its not present in the graph
       if node not in self.connections:
           UpperCamelCase__         =    {}

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_ ,				snake_case_      )		->       None:
       # add an edge with the given weight
       self.add_node(snake_case_      )
       self.add_node(snake_case_      )
       UpperCamelCase__         =    weight
       UpperCamelCase__         =    weight







   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       GraphUndirectedWeighted[T]:
       UpperCamelCase__         =    []
       UpperCamelCase__         =    set()
       for start in self.connections:
           for end in self.connections[start]:
               if (start, end) not in seen:
                   seen.add((end, start)      )
                   edges.append((start, end, self.connections[start][end])      )
       edges.sort(key=lambda snake_case_      : x[2]      )

       # creating the disjoint set
       UpperCamelCase__         =    DisjointSetTree[T]()
       for node in self.connections:
           disjoint_set.make_set(snake_case_      )

       # MST generation
       UpperCamelCase__         =    0
       UpperCamelCase__         =    0
       UpperCamelCase__         =    GraphUndirectedWeighted[T]()
       while num_edges < len(self.connections      ) - 1:
           UpperCamelCase__       ,						UpperCamelCase__       ,						UpperCamelCase__         =    edges[index]
           index += 1
           UpperCamelCase__         =    disjoint_set.find_set(snake_case_      )
           UpperCamelCase__         =    disjoint_set.find_set(snake_case_      )
           if parent_u != parent_v:
               num_edges += 1
               graph.add_edge(snake_case_ ,				snake_case_ ,				snake_case_      )
               disjoint_set.union(snake_case_ ,				snake_case_      )
       return graph




