

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

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


UpperCamelCase__					: int								=      logging.get_logger(__name__)

UpperCamelCase__					: Tuple								=      {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

UpperCamelCase__					: 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"},
}

UpperCamelCase__					: Optional[int]								=      {
    "microsoft/biogpt": 1_024,
}


def    _UpperCAmelCase    (					_SCREAMING_SNAKE_CASE   :						List[str]    ):





    """simple docstring"""


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





class  __snake_case					(      lowerCAmelCase__    ):
  __lowerCAmelCase       :		Optional[Any]  	=					VOCAB_FILES_NAMES
  __lowerCAmelCase       :		Optional[int]  	=					PRETRAINED_VOCAB_FILES_MAP
  __lowerCAmelCase       :		Tuple  	=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCAmelCase       :		Union[str, Any]  	=					['input_ids', 'attention_mask']

  def __init__(   self  ,						_A  ,						_A  ,						_A="<unk>"  ,						_A="<s>"  ,						_A="</s>"  ,						_A="</s>"  ,						_A="<pad>"  ,						**_A  ,						):
      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.')

      SCREAMING_SNAKE_CASE_													=  'en'
      SCREAMING_SNAKE_CASE_													=  sacremoses
      # cache of sm.MosesTokenizer instance
      SCREAMING_SNAKE_CASE_													=  {}
      SCREAMING_SNAKE_CASE_													=  {}
      with open(_A  ,						encoding='utf-8') as vocab_handle:
          SCREAMING_SNAKE_CASE_													=  json.load(_A)
      SCREAMING_SNAKE_CASE_													=  {v: k for k, v in self.encoder.items()}
      with open(_A  ,						encoding='utf-8') as merges_handle:
          SCREAMING_SNAKE_CASE_													=  merges_handle.read().split('\n')[:-1]
      SCREAMING_SNAKE_CASE_													=  [tuple(merge.split()[:2]) for merge in merges]
      SCREAMING_SNAKE_CASE_													=  dict(zip(_A  ,						range(len(_A))))
      SCREAMING_SNAKE_CASE_													=  {}

  @property
  def   lowerCAmelCase__       (   self):
      return len(self.encoder)

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

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

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

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

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

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

  def   lowerCAmelCase__       (   self  ,						_A  ,						_A=False):
      if bypass_tokenizer:
          SCREAMING_SNAKE_CASE_													=  text.split()
      else:
          SCREAMING_SNAKE_CASE_													=  self.moses_tokenize(_A  ,						self.lang)

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

      return split_tokens

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

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

  def   lowerCAmelCase__       (   self  ,						_A):
      SCREAMING_SNAKE_CASE_													=  [t.replace(' '  ,						'').replace('</w>'  ,						' ') for t in tokens]
      SCREAMING_SNAKE_CASE_													=  ''.join(_A).split()
      # detokenize
      SCREAMING_SNAKE_CASE_													=  self.moses_detokenize(_A  ,						self.lang)
      return text

  def   lowerCAmelCase__       (   self  ,						_A  ,						_A = None):
      if token_ids_a is None:
          return [self.sep_token_id] + token_ids_a
      SCREAMING_SNAKE_CASE_													=  [self.sep_token_id]
      return sep + token_ids_a + sep + token_ids_a

  def   lowerCAmelCase__       (   self  ,						_A  ,						_A = None  ,						_A = False):
      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   lowerCAmelCase__       (   self  ,						_A  ,						_A = None):
      SCREAMING_SNAKE_CASE_													=  [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   lowerCAmelCase__       (   self  ,						_A  ,						_A = None):
      if not os.path.isdir(_A):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
          return
      SCREAMING_SNAKE_CASE_													=  os.path.join(
          _A  ,						(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
      SCREAMING_SNAKE_CASE_													=  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')

      SCREAMING_SNAKE_CASE_													=  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!')
                  SCREAMING_SNAKE_CASE_													=  token_index
              writer.write(' '.join(_A) + '\n')
              index += 1

      return vocab_file, merge_file

  def __getstate__(   self):
      SCREAMING_SNAKE_CASE_													=  self.__dict__.copy()
      SCREAMING_SNAKE_CASE_													=  None
      return state


  def __setstate__(   self  ,						_A):
      SCREAMING_SNAKE_CASE_													=  d

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

      SCREAMING_SNAKE_CASE_													=  sacremoses





from ...configuration_utils import PretrainedConfig
from ...utils import logging


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

UpperCamelCase__					: int								=      {
    "google/pegasus-x-base": "https://huggingface.co/google/pegasus-x-base/resolve/main/config.json",
    "google/pegasus-x-large": "https://huggingface.co/google/pegasus-x-large/resolve/main/config.json",
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}



class  __snake_case					(      lowerCAmelCase__    ):
  __lowerCAmelCase       :		List[Any]  	=					'pegasus_x'
  __lowerCAmelCase       :		Optional[int]  	=					['past_key_values']
  __lowerCAmelCase       :		List[str]  	=					{'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}

  def __init__(   self  ,						_A=96103  ,						_A=16384  ,						_A=16  ,						_A=4096  ,						_A=16  ,						_A=16  ,						_A=4096  ,						_A=16  ,						_A=0.0  ,						_A=0.0  ,						_A=True  ,						_A=True  ,						_A="gelu"  ,						_A=1024  ,						_A=0.1  ,						_A=0.0  ,						_A=0.0  ,						_A=0.0_2  ,						_A=0  ,						_A=True  ,						_A=0  ,						_A=1  ,						_A=1  ,						_A=32  ,						_A=512  ,						_A=True  ,						**_A  ,						):
      SCREAMING_SNAKE_CASE_													=  vocab_size
      SCREAMING_SNAKE_CASE_													=  max_position_embeddings
      SCREAMING_SNAKE_CASE_													=  d_model
      SCREAMING_SNAKE_CASE_													=  encoder_ffn_dim
      SCREAMING_SNAKE_CASE_													=  encoder_layers
      SCREAMING_SNAKE_CASE_													=  encoder_attention_heads
      SCREAMING_SNAKE_CASE_													=  decoder_ffn_dim
      SCREAMING_SNAKE_CASE_													=  decoder_layers
      SCREAMING_SNAKE_CASE_													=  decoder_attention_heads
      SCREAMING_SNAKE_CASE_													=  dropout
      SCREAMING_SNAKE_CASE_													=  attention_dropout
      SCREAMING_SNAKE_CASE_													=  activation_dropout
      SCREAMING_SNAKE_CASE_													=  activation_function
      SCREAMING_SNAKE_CASE_													=  init_std
      SCREAMING_SNAKE_CASE_													=  encoder_layerdrop
      SCREAMING_SNAKE_CASE_													=  decoder_layerdrop
      SCREAMING_SNAKE_CASE_													=  use_cache
      SCREAMING_SNAKE_CASE_													=  encoder_layers
      SCREAMING_SNAKE_CASE_													=  scale_embedding  # scale factor will be sqrt(d_model) if True

      SCREAMING_SNAKE_CASE_													=  num_global_tokens
      SCREAMING_SNAKE_CASE_													=  block_size
      SCREAMING_SNAKE_CASE_													=  stagger_local_blocks

      super().__init__(
          pad_token_id=_A  ,						eos_token_id=_A  ,						is_encoder_decoder=_A  ,						decoder_start_token_id=_A  ,						forced_eos_token_id=_A  ,						**_A  ,						)

  @property
  def   lowerCAmelCase__       (   self):
      return self.encoder_attention_heads


  @property
  def   lowerCAmelCase__       (   self):
      return self.d_model


