



"""simple docstring"""
import json
import os
from typing import Dict, List, Optional, Tuple

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


__SCREAMING_SNAKE_CASE  :						str    							=      logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE  :						List[str]    							=      {
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

__SCREAMING_SNAKE_CASE  :						Optional[int]    							=      {
    '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'
        ),
    },
}

__SCREAMING_SNAKE_CASE  :						Tuple    							=      '</w>'
__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      '@@ '



def        lowerCAmelCase_(   lowercase_     :							List[str]							)	->       Optional[int]:
    _lowerCamelCase        =				set()
    _lowerCamelCase        =				word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)							)
        _lowerCamelCase        =				char
    return pairs


# Speech2Text2 has no max input length
__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      {'facebook/s2t-wav2vec2-large-en-de': 1_0_2_4}




class 							lowerCamelCase_(   A__    ):





     '''simple docstring'''



     lowercase__   :       Optional[Any]										= VOCAB_FILES_NAMES
     lowercase__   :       Union[str, Any]										= PRETRAINED_VOCAB_FILES_MAP
     lowercase__   :       Union[str, Any]										= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowercase__   :       Dict										= ['input_ids', 'attention_mask']

     def __init__(    self				,       lowerCamelCase__				,       lowerCamelCase__="<s>"				,       lowerCamelCase__="<pad>"				,       lowerCamelCase__="</s>"				,       lowerCamelCase__="<unk>"				,       lowerCamelCase__=False				,       lowerCamelCase__=None				,       **lowerCamelCase__				,       ):
         super().__init__(
             unk_token=__A				,       bos_token=__A				,       eos_token=__A				,       pad_token=__A				,       do_lower_case=__A				,       **__A				,       )

         _lowerCamelCase        =				do_lower_case

         with open(__A				,       encoding='''utf-8'''   ) as vocab_handle:
             _lowerCamelCase        =				json.load(__A   )
         _lowerCamelCase        =				{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."""   )

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

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

     @property
     def 			snake_case__      (    self   ):
         return len(self.decoder   )

     def 			snake_case__      (    self   ):
         return dict(self.encoder				,       **self.added_tokens_encoder   )

     def 			snake_case__      (    self				,       lowerCamelCase__   ):
         _lowerCamelCase        =				tuple(token[:-1]   ) + (token[-1] + BPE_TOKEN_MERGES,)
         if token in self.cache:
             return self.cache[token]
         _lowerCamelCase        =				get_pairs(__A   )

         if not pairs:
             return token

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

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

         if word.endswith(__A   ):
             _lowerCamelCase        =				word.replace(__A				,       ''''''   )

         _lowerCamelCase        =				word.replace(''' '''				,       __A   )
         _lowerCamelCase        =				word
         return word

     def 			snake_case__      (    self				,       lowerCamelCase__   ):

         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:
             _lowerCamelCase        =				text.lower()

         _lowerCamelCase        =				text.split()

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

         return split_tokens

     def 			snake_case__      (    self				,       lowerCamelCase__   ):
         return self.encoder.get(__A				,       self.encoder.get(self.unk_token   )   )

     def 			snake_case__      (    self				,       lowerCamelCase__   ):
         _lowerCamelCase        =				self.decoder.get(__A				,       self.unk_token   )
         return result

     def 			snake_case__      (    self				,       lowerCamelCase__   ):
         _lowerCamelCase        =				" ".join(__A   )

         # make sure @@ tokens are concatenated
         _lowerCamelCase        =				"".join(string.split(__A   )   )

         return string





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

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

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

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

         return (vocab_file, merges_file)





"""simple docstring"""
import numpy as np



def        lowerCAmelCase_(   lowercase_     :							np.array							)	->       np.array:
				return 1 / (1 + np.exp(-vector							))



def        lowerCAmelCase_(   lowercase_     :							np.array							)	->       np.array:
				return vector * sigmoid(1.7_0_2 * vector							)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
