






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

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


UpperCAmelCase__							  =						logging.get_logger(__name__)


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

UpperCAmelCase__							  =						{
    "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"
        ),
    },
}

UpperCAmelCase__							  =						"</w>"
UpperCAmelCase__							  =						"@@ "
def 		_a       ( a					:Tuple					)				->     Dict:
 a						    = set()
 a						    = word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)					)
  a						    = char
 return pairs


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






class 						lowercase_   (      _lowercase  ):






      '''simple docstring'''




      __snake_case	    =    VOCAB_FILES_NAMES
      __snake_case	    =    PRETRAINED_VOCAB_FILES_MAP
      __snake_case	    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __snake_case	    =    ['''input_ids''', '''attention_mask''']







      def __init__( self :		Any					,   __UpperCAmelCase :		List[str]					,   __UpperCAmelCase :		str="<s>"					,   __UpperCAmelCase :		Optional[int]="<pad>"					,   __UpperCAmelCase :		List[str]="</s>"					,   __UpperCAmelCase :		List[Any]="<unk>"					,   __UpperCAmelCase :		List[str]=False					,   __UpperCAmelCase :		int=None					,   **__UpperCAmelCase :		Union[str, Any]					,   )       ->Optional[int]:




       """simple docstring"""


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

       a						    = do_lower_case

       with open(A_					,   encoding='''utf-8'''    ) as vocab_handle:
        a						    = json.load(A_    )
       a						    = {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						    = None
        a						    = None
       else:
        with open(A_					,   encoding='''utf-8'''    ) as merges_handle:
         a						    = merges_handle.read().split('''\n'''    )[:-1]

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







      @property
      def  __lowerCAmelCase   ( self :		str    )       ->int:




       """simple docstring"""


       return len(self.decoder    )







      def  __lowerCAmelCase   ( self :		List[Any]    )       ->Dict:




       """simple docstring"""


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







      def  __lowerCAmelCase   ( self :		Any					,   __UpperCAmelCase :		Optional[Any]    )       ->Tuple:




       """simple docstring"""


       a						    = tuple(token[:-1]    ) + (token[-1] + BPE_TOKEN_MERGES,)
       if token in self.cache:
        return self.cache[token]
       a						    = get_pairs(A_    )

       if not pairs:
        return token

       while True:
        a						    = min(A_					,   key=lambda __UpperCAmelCase    : self.bpe_ranks.get(A_					,   float('''inf'''    )    )    )
        if bigram not in self.bpe_ranks:
         break
        a    ,	a						    = bigram
        a						    = []
        a						    = 0
        while i < len(A_    ):
         try:
          a						    = word.index(A_					,   A_    )
         except ValueError:
          new_word.extend(word[i:]    )
          break
         else:
          new_word.extend(word[i:j]    )
          a						    = 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
        a						    = tuple(A_    )
        a						    = new_word
        if len(A_    ) == 1:
         break
        else:
         a						    = get_pairs(A_    )
       a						    = ''' '''.join(A_    )
       if word == "\n  " + BPE_TOKEN_MERGES:
        a						    = '''\n''' + BPE_TOKEN_MERGES

       if word.endswith(A_    ):
        a						    = word.replace(A_					,   ''''''    )

       a						    = word.replace(''' '''					,   A_    )
       a						    = word
       return word







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




       """simple docstring"""


       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						    = text.lower()

       a						    = text.split()

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

       return split_tokens







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




       """simple docstring"""


       return self.encoder.get(A_					,   self.encoder.get(self.unk_token    )    )







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




       """simple docstring"""


       a						    = self.decoder.get(A_					,   self.unk_token    )
       return result







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




       """simple docstring"""


       a						    = ''' '''.join(A_    )

       # make sure @@ tokens are concatenated
       a						    = ''''''.join(string.split(A_    )    )

       return string







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




       """simple docstring"""


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

       a						    = 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 __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						    = token_index
         writer.write(''' '''.join(A_    ) + '''\n'''    )
         index += 1

       return (vocab_file, merges_file)




"""simple docstring"""


import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline






@pytest.mark.integration
def    _snake_case					(		):
	with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT  ):
		with pytest.raises(snake_case__  ):
			requests.request('GET'						,   'https://huggingface.co'  )
		with pytest.raises(requests.exceptions.ConnectTimeout  ):
			requests.request('GET'						,   'https://huggingface.co'						,   timeout=1.0  )






@pytest.mark.integration
def    _snake_case					(		):
	with offline(OfflineSimulationMode.CONNECTION_FAILS  ):
		with pytest.raises(requests.exceptions.ConnectionError  ):
			requests.request('GET'						,   'https://huggingface.co'  )






def    _snake_case					(		):
	with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1  ):
		with pytest.raises(snake_case__  ):
			http_head('https://huggingface.co'  )