





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

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


__A    :   Union[str, Any]          =       logging.get_logger(__name__)

__A    :   Optional[int]          =       {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

__A    :   Optional[Any]          =       {
    "vocab_file": {
        "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json",
    },
    "merges_file": {"microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"},
}

__A    :   Dict          =       {
    "microsoft/biogpt": 1_024,
}





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    int:







   '''simple docstring'''

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






class      A_	(a_      ):
 UpperCAmelCase__ =      VOCAB_FILES_NAMES
 UpperCAmelCase__ =      PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase__ =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase__ =      ['input_ids', 'attention_mask']
 def __init__(   self							, _A							, _A							, _A="<unk>"							, _A="<s>"							, _A="</s>"							, _A="</s>"							, _A="<pad>"							, **_A							, ):






    '''simple docstring'''







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

    try:
       import sacremoses
    except ImportError:
       raise ImportError(
           '''You need to install sacremoses to use BioGptTokenizer. '''
           '''See https://pypi.org/project/sacremoses/ for installation.'''		)

    UpperCAmelCase       		=    "en"
    UpperCAmelCase       		=    sacremoses
    # cache of sm.MosesTokenizer instance
    UpperCAmelCase       		=    {}
    UpperCAmelCase       		=    {}
    with open(_A							, encoding='''utf-8'''		) as vocab_handle:
       UpperCAmelCase       		=    json.load(_A		)
    UpperCAmelCase       		=    {v: k for k, v in self.encoder.items()}
    with open(_A							, 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(_A							, range(len(_A		)		)		)		)
    UpperCAmelCase       		=    {}
 @property
 def 					_lowercase    (   self		):






    '''simple docstring'''







    return len(self.encoder		)
 def 					_lowercase    (   self		):






    '''simple docstring'''







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






    '''simple docstring'''







    if lang not in self.cache_moses_tokenizer:
       UpperCAmelCase       		=    self.sm.MosesTokenizer(lang=_A		)
       UpperCAmelCase       		=    moses_tokenizer
    return self.cache_moses_tokenizer[lang].tokenize(
        _A							, aggressive_dash_splits=_A							, return_str=_A							, escape=_A		)
 def 					_lowercase    (   self							, _A							, _A		):






    '''simple docstring'''







    if lang not in self.cache_moses_detokenizer:
       UpperCAmelCase       		=    self.sm.MosesDetokenizer(lang=_A		)
       UpperCAmelCase       		=    moses_detokenizer
    return self.cache_moses_detokenizer[lang].detokenize(_A		)
 def 					_lowercase    (   self							, _A		):






    '''simple docstring'''







    UpperCAmelCase       		=    tuple(token[:-1]		) + (token[-1] + "</w>",)
    if token in self.cache:
       return self.cache[token]
    UpperCAmelCase       		=    get_pairs(_A		)

    if not pairs:
       return token + "</w>"

    while True:
       UpperCAmelCase       		=    min(_A							, key=lambda _A		: self.bpe_ranks.get(_A							, float('''inf'''		)		)		)
       if bigram not in self.bpe_ranks:
          break
       UpperCAmelCase       		=    bigram
       UpperCAmelCase       		=    []
       UpperCAmelCase       		=    0
       while i < len(_A		):
          try:
             UpperCAmelCase       		=    word.index(_A							, _A		)
          except ValueError:
             new_word.extend(word[i:]		)
             break
          else:
             new_word.extend(word[i:j]		)
             UpperCAmelCase       		=    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
       UpperCAmelCase       		=    tuple(_A		)
       UpperCAmelCase       		=    new_word
       if len(_A		) == 1:
          break
       else:
          UpperCAmelCase       		=    get_pairs(_A		)
    UpperCAmelCase       		=    " ".join(_A		)
    if word == "\n  </w>":
       UpperCAmelCase       		=    "\n</w>"
    UpperCAmelCase       		=    word
    return word
 def 					_lowercase    (   self							, _A							, _A=False		):






    '''simple docstring'''







    if bypass_tokenizer:
       UpperCAmelCase       		=    text.split()
    else:
       UpperCAmelCase       		=    self.moses_tokenize(_A							, self.lang		)

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

    return split_tokens
 def 					_lowercase    (   self							, _A		):






    '''simple docstring'''







    return self.encoder.get(_A							, self.encoder.get(self.unk_token		)		)
 def 					_lowercase    (   self							, _A		):






    '''simple docstring'''







    return self.decoder.get(_A							, self.unk_token		)
 def 					_lowercase    (   self							, _A		):






    '''simple docstring'''







    UpperCAmelCase       		=    [t.replace(''' '''							, ''''''		).replace('''</w>'''							, ''' '''		) for t in tokens]
    UpperCAmelCase       		=    "".join(_A		).split()
    # detokenize
    UpperCAmelCase       		=    self.moses_detokenize(_A							, self.lang		)
    return text
 def 					_lowercase    (   self							, _A							, _A = None		):






    '''simple docstring'''







    if token_ids_a is None:
       return [self.sep_token_id] + token_ids_a
    UpperCAmelCase       		=    [self.sep_token_id]
    return sep + token_ids_a + sep + token_ids_a
 def 					_lowercase    (   self							, _A							, _A = None							, _A = False		):






    '''simple docstring'''







    if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=_A							, token_ids_a=_A							, already_has_special_tokens=_A		)
    # no bos used in fairseq
    if token_ids_a is not None:
       return [1] + ([0] * len(_A		)) + [1] + ([0] * len(_A		))
    return [1] + ([0] * len(_A		))
 def 					_lowercase    (   self							, _A							, _A = None		):






    '''simple docstring'''







    UpperCAmelCase       		=    [self.sep_token_id]

    # no bos used in fairseq
    if token_ids_a is None:
       return len(token_ids_a + sep		) * [0]
    return len(token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]
 def 					_lowercase    (   self							, _A							, _A = None		):






    '''simple docstring'''







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

    UpperCAmelCase       		=    0
    with open(_A							, '''w'''							, encoding='''utf-8'''		) as writer:
       for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							, key=lambda _A		: 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!'''		)
             UpperCAmelCase       		=    token_index
          writer.write(''' '''.join(_A		) + '''\n'''		)
          index += 1

    return vocab_file, merge_file
 def __getstate__(   self		):






    '''simple docstring'''







    UpperCAmelCase       		=    self.__dict__.copy()
    UpperCAmelCase       		=    None
    return state







 def __setstate__(   self							, _A		):






    '''simple docstring'''







    UpperCAmelCase       		=    d

    try:
       import sacremoses
    except ImportError:
       raise ImportError(
           '''You need to install sacremoses to use XLMTokenizer. '''
           '''See https://pypi.org/project/sacremoses/ for installation.'''		)

    UpperCAmelCase       		=    sacremoses










import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


__A    :   Optional[int]          =       logging.get_logger(__name__)

class      A_	(a_      ):
	UpperCAmelCase__ =      '''speech-encoder-decoder'''
	UpperCAmelCase__ =      True
	def __init__(   self							, **_A		):






				'''simple docstring'''







				super().__init__(**_A		)
				if "encoder" not in kwargs or "decoder" not in kwargs:
							raise ValueError(
							    F"""A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and"""
							    F""" `decoder` sub-configurations are passed, but only {kwargs}"""		)

				UpperCAmelCase       		=    kwargs.pop('''encoder'''		)
				UpperCAmelCase       		=    encoder_config.pop('''model_type'''		)
				UpperCAmelCase       		=    kwargs.pop('''decoder'''		)
				UpperCAmelCase       		=    decoder_config.pop('''model_type'''		)

				UpperCAmelCase       		=    AutoConfig.for_model(_A							, **_A		)
				UpperCAmelCase       		=    AutoConfig.for_model(_A							, **_A		)
				UpperCAmelCase       		=    True
	@classmethod
	def 					_lowercase    (   cls							, _A							, _A							, **_A		):






				'''simple docstring'''







				logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''		)
				UpperCAmelCase       		=    True
				UpperCAmelCase       		=    True

				return cls(encoder=encoder_config.to_dict()							, decoder=decoder_config.to_dict()							, **_A		)







	def 					_lowercase    (   self		):






				'''simple docstring'''







				UpperCAmelCase       		=    copy.deepcopy(self.__dict__		)
				UpperCAmelCase       		=    self.encoder.to_dict()
				UpperCAmelCase       		=    self.decoder.to_dict()
				UpperCAmelCase       		=    self.__class__.model_type
				return output



