

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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
       from transformers.pipelines.conversational import Conversation

UpperCamelCase__     :					str								=			logging.get_logger(__name__)

UpperCamelCase__     :					List[str]								=			{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

UpperCamelCase__     :					List[str]								=			{
    "vocab_file": {
        "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json",
        "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json",
        "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json",
        "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json",
        "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json",
        "microsoft/deberta-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt",
        "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt",
        "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt",
        "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt",
        "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt",
        "microsoft/deberta-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt"
        ),
    },
}

UpperCamelCase__     :					Optional[int]								=			{
    "microsoft/deberta-base": 512,
    "microsoft/deberta-large": 512,
    "microsoft/deberta-xlarge": 512,
    "microsoft/deberta-base-mnli": 512,
    "microsoft/deberta-large-mnli": 512,
    "microsoft/deberta-xlarge-mnli": 512,
}

UpperCamelCase__     :					Any								=			{
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}


def     _UpperCAmelCase				(     ):





    """simple docstring"""


    SCREAMING_SNAKE_CASE_													=  (
        list(range(ord('!'				)       ,      ord('~'				) + 1				)				) + list(range(ord('¡'				)       ,      ord('¬'				) + 1				)				) + list(range(ord('®'				)       ,      ord('ÿ'				) + 1				)				)
    )
    SCREAMING_SNAKE_CASE_													=  bs[:]
    SCREAMING_SNAKE_CASE_													=  0
    for b in range(2**8				):
        if b not in bs:
            bs.append(_SCREAMING_SNAKE_CASE				)
            cs.append(2**8 + n				)
            n += 1
    SCREAMING_SNAKE_CASE_													=  [chr(_SCREAMING_SNAKE_CASE				) for n in cs]
    return dict(zip(_SCREAMING_SNAKE_CASE       ,      _SCREAMING_SNAKE_CASE				)				)


def     _UpperCAmelCase				(     _SCREAMING_SNAKE_CASE    :						Any				):





    """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     (			lowercase_				):
  __lowerCAmelCase   :		Union[str, Any]         =     VOCAB_FILES_NAMES
  __lowerCAmelCase   :		Optional[int]         =     PRETRAINED_VOCAB_FILES_MAP
  __lowerCAmelCase   :		Union[str, Any]         =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCAmelCase   :		Tuple         =     ['input_ids', 'attention_mask', 'token_type_ids']

  def __init__(    self  ,						_A  ,						_A  ,						_A="replace"  ,						_A="[CLS]"  ,						_A="[SEP]"  ,						_A="[SEP]"  ,						_A="[CLS]"  ,						_A="[UNK]"  ,						_A="[PAD]"  ,						_A="[MASK]"  ,						_A=False  ,						_A=False  ,						**_A  ,						):
      SCREAMING_SNAKE_CASE_													=  AddedToken(_lowercase  ,						lstrip=_lowercase  ,						rstrip=_lowercase) if isinstance(_lowercase  ,						_lowercase) else bos_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_lowercase  ,						lstrip=_lowercase  ,						rstrip=_lowercase) if isinstance(_lowercase  ,						_lowercase) else eos_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_lowercase  ,						lstrip=_lowercase  ,						rstrip=_lowercase) if isinstance(_lowercase  ,						_lowercase) else sep_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_lowercase  ,						lstrip=_lowercase  ,						rstrip=_lowercase) if isinstance(_lowercase  ,						_lowercase) else cls_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_lowercase  ,						lstrip=_lowercase  ,						rstrip=_lowercase) if isinstance(_lowercase  ,						_lowercase) else unk_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_lowercase  ,						lstrip=_lowercase  ,						rstrip=_lowercase) if isinstance(_lowercase  ,						_lowercase) else pad_token

      # Mask token behave like a normal word, i.e. include the space before it
      SCREAMING_SNAKE_CASE_													=  AddedToken(_lowercase  ,						lstrip=_lowercase  ,						rstrip=_lowercase) if isinstance(_lowercase  ,						_lowercase) else mask_token

      super().__init__(
          errors=_lowercase  ,						bos_token=_lowercase  ,						eos_token=_lowercase  ,						unk_token=_lowercase  ,						sep_token=_lowercase  ,						cls_token=_lowercase  ,						pad_token=_lowercase  ,						mask_token=_lowercase  ,						add_prefix_space=_lowercase  ,						add_bos_token=_lowercase  ,						**_lowercase  ,						)
      SCREAMING_SNAKE_CASE_													=  add_bos_token

      with open(_lowercase  ,						encoding='utf-8') as vocab_handle:
          SCREAMING_SNAKE_CASE_													=  json.load(_lowercase)
      SCREAMING_SNAKE_CASE_													=  {v: k for k, v in self.encoder.items()}
      SCREAMING_SNAKE_CASE_													=  errors  # how to handle errors in decoding
      SCREAMING_SNAKE_CASE_													=  bytes_to_unicode()
      SCREAMING_SNAKE_CASE_													=  {v: k for k, v in self.byte_encoder.items()}
      with open(_lowercase  ,						encoding='utf-8') as merges_handle:
          SCREAMING_SNAKE_CASE_													=  merges_handle.read().split('\n')[1:-1]
      SCREAMING_SNAKE_CASE_													=  [tuple(merge.split()) for merge in bpe_merges]
      SCREAMING_SNAKE_CASE_													=  dict(zip(_lowercase  ,						range(len(_lowercase))))
      SCREAMING_SNAKE_CASE_													=  {}
      SCREAMING_SNAKE_CASE_													=  add_prefix_space

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      SCREAMING_SNAKE_CASE_													=  re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+')

  @property
  # Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
  def   lowerCAmelCase__   (    self):
      return len(self.encoder)

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

  def   lowerCAmelCase__   (    self  ,						_A):





      if token in self.cache:
          return self.cache[token]
      SCREAMING_SNAKE_CASE_													=  tuple(_lowercase)
      SCREAMING_SNAKE_CASE_													=  get_pairs(_lowercase)

      if not pairs:
          return token

      while True:
          SCREAMING_SNAKE_CASE_													=  min(_lowercase  ,						key=lambda _A: self.bpe_ranks.get(_lowercase  ,						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(_lowercase):
              try:
                  SCREAMING_SNAKE_CASE_													=  word.index(_lowercase  ,						_lowercase)
              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(_lowercase) - 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(_lowercase)
          SCREAMING_SNAKE_CASE_													=  new_word
          if len(_lowercase) == 1:
              break
          else:
              SCREAMING_SNAKE_CASE_													=  get_pairs(_lowercase)
      SCREAMING_SNAKE_CASE_													=  ' '.join(_lowercase)
      SCREAMING_SNAKE_CASE_													=  word
      return word

  def   lowerCAmelCase__   (    self  ,						_A  ,						_A = None):





      if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      SCREAMING_SNAKE_CASE_													=  [self.cls_token_id]
      SCREAMING_SNAKE_CASE_													=  [self.sep_token_id]
      return cls + token_ids_a + sep + token_ids_a + sep

  def   lowerCAmelCase__   (    self  ,						_A  ,						_A = None  ,						_A = False):





      if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=_lowercase  ,						token_ids_a=_lowercase  ,						already_has_special_tokens=_lowercase)

      if token_ids_a is None:
          return [1] + ([0] * len(_lowercase)) + [1]
      return [1] + ([0] * len(_lowercase)) + [1] + ([0] * len(_lowercase)) + [1]

  def   lowerCAmelCase__   (    self  ,						_A  ,						_A = None):
      SCREAMING_SNAKE_CASE_													=  [self.sep_token_id]
      SCREAMING_SNAKE_CASE_													=  [self.cls_token_id]

      if token_ids_a is None:
          return len(cls + token_ids_a + sep) * [0]
      return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]

  def   lowerCAmelCase__   (    self  ,						_A):
      SCREAMING_SNAKE_CASE_													=  []
      for token in re.findall(self.pat  ,						_lowercase):
          SCREAMING_SNAKE_CASE_													=  ''.join(
              self.byte_encoder[b] for b in token.encode('utf-8'))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
          bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_lowercase).split(' '))
      return bpe_tokens

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

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

  def   lowerCAmelCase__   (    self  ,						_A):
      SCREAMING_SNAKE_CASE_													=  ''.join(_lowercase)
      SCREAMING_SNAKE_CASE_													=  bytearray([self.byte_decoder[c] for c in text]).decode('utf-8'  ,						errors=self.errors)
      return text

  def   lowerCAmelCase__   (    self  ,						_A  ,						_A = None):





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

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

      SCREAMING_SNAKE_CASE_													=  0
      with open(_lowercase  ,						'w'  ,						encoding='utf-8') as writer:
          writer.write('#version: 0.2\n')
          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(_lowercase) + '\n')
              index += 1

      return vocab_file, merge_file

  def   lowerCAmelCase__   (    self  ,						_A  ,						_A=False  ,						**_A):
      SCREAMING_SNAKE_CASE_													=  kwargs.pop('add_prefix_space'  ,						self.add_prefix_space)
      if (is_split_into_words or add_prefix_space) and (len(_lowercase) > 0 and not text[0].isspace()):
          SCREAMING_SNAKE_CASE_													=  ' ' + text
      return (text, kwargs)


  def   lowerCAmelCase__   (    self  ,						_A):
      SCREAMING_SNAKE_CASE_													=  []
      for is_user, text in conversation.iter_texts():
          input_ids.extend(self.encode(_lowercase  ,						add_special_tokens=_lowercase) + [self.eos_token_id])
      if len(_lowercase) > self.model_max_length:
          SCREAMING_SNAKE_CASE_													=  input_ids[-self.model_max_length :]
      return input_ids









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_snake_case				= {"""configuration_bit""": ["""BIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BitConfig""", """BitOnnxConfig"""]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case				= [
      """BIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """BitForImageClassification""",
      """BitModel""",
      """BitPreTrainedModel""",
      """BitBackbone""",
  ]


try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _snake_case				= ["""BitImageProcessor"""]


if TYPE_CHECKING:
  from .configuration_bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig, BitOnnxConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_bit import (
        BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        BitBackbone,
        BitForImageClassification,
        BitModel,
        BitPreTrainedModel,
    )

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_bit import BitImageProcessor

else:
  import sys

  _snake_case				= _LazyModule(__name__, globals()["""__file__"""], _import_structure)






