
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    			=					logging.get_logger(__name__)

_UpperCAmelCase    			=					{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

_UpperCAmelCase    			=					{
    '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    			=					{
    '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    			=					{
    'microsoft/deberta-base': {'do_lower_case': False},
    'microsoft/deberta-large': {'do_lower_case': False},
}


def 		_lowerCamelCase       (   ):
  """simple docstring"""




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


def 		_lowerCamelCase       (   _a  ):
  """simple docstring"""




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






class 		__magic_name__				( UpperCAmelCase_					):


  """simple docstring"""





  _UpperCamelCase						 = VOCAB_FILES_NAMES
  _UpperCamelCase						 = PRETRAINED_VOCAB_FILES_MAP
  _UpperCamelCase						 = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _UpperCamelCase						 = ["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__	,		):
    _lowerCamelCase      =						AddedToken(__UpperCamelCase	,		lstrip=__UpperCamelCase	,		rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase	,		__UpperCamelCase		) else bos_token
    _lowerCamelCase      =						AddedToken(__UpperCamelCase	,		lstrip=__UpperCamelCase	,		rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase	,		__UpperCamelCase		) else eos_token
    _lowerCamelCase      =						AddedToken(__UpperCamelCase	,		lstrip=__UpperCamelCase	,		rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase	,		__UpperCamelCase		) else sep_token
    _lowerCamelCase      =						AddedToken(__UpperCamelCase	,		lstrip=__UpperCamelCase	,		rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase	,		__UpperCamelCase		) else cls_token
    _lowerCamelCase      =						AddedToken(__UpperCamelCase	,		lstrip=__UpperCamelCase	,		rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase	,		__UpperCamelCase		) else unk_token
    _lowerCamelCase      =						AddedToken(__UpperCamelCase	,		lstrip=__UpperCamelCase	,		rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase	,		__UpperCamelCase		) else pad_token

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

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

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

    # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
    _lowerCamelCase      =						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     _UpperCAmelCase  (					self		):
    return len(self.encoder		)


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


  def     _UpperCAmelCase  (					self	,		a__		):
    if token in self.cache:
      return self.cache[token]
    _lowerCamelCase      =						tuple(__UpperCamelCase		)
    _lowerCamelCase      =						get_pairs(__UpperCamelCase		)

    if not pairs:
      return token

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

        if word[i] == first and i < len(__UpperCamelCase		) - 1 and word[i + 1] == second:
          new_word.append(first + second		)
          i += 2
        else:
          new_word.append(word[i]		)
          i += 1
      _lowerCamelCase      =						tuple(__UpperCamelCase		)
      _lowerCamelCase      =						new_word
      if len(__UpperCamelCase		) == 1:
        break
      else:
        _lowerCamelCase      =						get_pairs(__UpperCamelCase		)
    _lowerCamelCase      =						''' '''.join(__UpperCamelCase		)
    _lowerCamelCase      =						word
    return word


  def     _UpperCAmelCase  (					self	,		a__	,		a__ = None		):
    if token_ids_a is None:
      return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
    _lowerCamelCase      =						[self.cls_token_id]
    _lowerCamelCase      =						[self.sep_token_id]
    return cls + token_ids_a + sep + token_ids_a + sep


  def     _UpperCAmelCase  (					self	,		a__	,		a__ = None	,		a__ = False		):
    if already_has_special_tokens:
      return super().get_special_tokens_mask(
          token_ids_a=__UpperCamelCase	,		token_ids_a=__UpperCamelCase	,		already_has_special_tokens=__UpperCamelCase		)

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


  def     _UpperCAmelCase  (					self	,		a__	,		a__ = None		):
    _lowerCamelCase      =						[self.sep_token_id]
    _lowerCamelCase      =						[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     _UpperCAmelCase  (					self	,		a__		):
    _lowerCamelCase      =						[]
    for token in re.findall(self.pat	,		__UpperCamelCase		):
      _lowerCamelCase      =						''''''.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(__UpperCamelCase		).split(''' '''		)		)
    return bpe_tokens


  def     _UpperCAmelCase  (					self	,		a__		):
    return self.encoder.get(__UpperCamelCase	,		self.encoder.get(self.unk_token		)		)


  def     _UpperCAmelCase  (					self	,		a__		):
    return self.decoder.get(__UpperCamelCase		)


  def     _UpperCAmelCase  (					self	,		a__		):
    _lowerCamelCase      =						''''''.join(__UpperCamelCase		)
    _lowerCamelCase      =						bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8'''	,		errors=self.errors		)
    return text


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

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

    _lowerCamelCase      =						0
    with open(__UpperCamelCase	,		'''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!'''		)
          _lowerCamelCase      =						token_index
        writer.write(''' '''.join(__UpperCamelCase		) + '''\n'''		)
        index += 1

    return vocab_file, merge_file


  def     _UpperCAmelCase  (					self	,		a__	,		a__=False	,		**a__		):
    _lowerCamelCase      =						kwargs.pop('''add_prefix_space'''	,		self.add_prefix_space		)
    if (is_split_into_words or add_prefix_space) and (len(__UpperCamelCase		) > 0 and not text[0].isspace()):
      _lowerCamelCase      =						''' ''' + text
    return (text, kwargs)


  def     _UpperCAmelCase  (					self	,		a__		):
    _lowerCamelCase      =						[]
    for is_user, text in conversation.iter_texts():
      input_ids.extend(self.encode(__UpperCamelCase	,		add_special_tokens=__UpperCamelCase		) + [self.eos_token_id]		)
    if len(__UpperCamelCase		) > self.model_max_length:
      _lowerCamelCase      =						input_ids[-self.model_max_length :]
    return input_ids










'''simple docstring'''







import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
_lowerCamelCase				:		str				      =    'src/transformers'

# Matches is_xxx_available()
_lowerCamelCase				:		str				      =    re.compile(R'is\_([a-z_]*)_available()')
# Matches from xxx import bla
_lowerCamelCase				:		Union[str, Any]				      =    re.compile(R'\s+from\s+\S*\s+import\s+([^\(\s].*)\n')
_lowerCamelCase				:		Dict				      =    re.compile(R'^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)')


_lowerCamelCase				:		int				      =    '\n{0} = None\n'

_lowerCamelCase				:		List[Any]				      =    '\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n'


_lowerCamelCase				:		Any				      =    '\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n'






def 						_lowercase						(      lowercase_    ):



		'''simple docstring'''







		if _re_test_backend.search(lowercase_    ) is None:
				return None
		_snake_case      			=			[b[0] for b in _re_backend.findall(lowercase_    )]
		backends.sort()
		return "_and_".join(lowercase_    )






def 						_lowercase						(      ):



		'''simple docstring'''







		with open(os.path.join(lowercase_		,				"__init__.py"    )		,				"r"		,				encoding="utf-8"		,				newline="\n"    ) as f:
				_snake_case      			=			f.readlines()

		# Get to the point we do the actual imports for type checking
		_snake_case      			=			0
		while not lines[line_index].startswith("if TYPE_CHECKING"    ):
				line_index += 1

		_snake_case      			=			{}
		# Go through the end of the file
		while line_index < len(lowercase_    ):
				# If the line is an if is_backend_available, we grab all objects associated.
				_snake_case      			=			find_backend(lines[line_index]    )
				if backend is not None:
						while not lines[line_index].startswith("    else:"    ):
								line_index += 1
						line_index += 1

						_snake_case      			=			[]
						# Until we unindent, add backend objects to the list
						while len(lines[line_index]    ) <= 1 or lines[line_index].startswith(" " * 8    ):
								_snake_case      			=			lines[line_index]
								_snake_case      			=			_re_single_line_import.search(lowercase_    )
								if single_line_import_search is not None:
										objects.extend(single_line_import_search.groups()[0].split(", "    )    )
								elif line.startswith(" " * 12    ):
										objects.append(line[12:-2]    )
								line_index += 1

						_snake_case      			=			objects
				else:
						line_index += 1

		return backend_specific_objects






def 						_lowercase						(      lowercase_		,				lowercase_    ):



		'''simple docstring'''







		if name.isupper():
				return DUMMY_CONSTANT.format(lowercase_    )
		elif name.islower():
				return DUMMY_FUNCTION.format(lowercase_		,				lowercase_    )
		else:
				return DUMMY_CLASS.format(lowercase_		,				lowercase_    )






def 						_lowercase						(      lowercase_=None    ):



		'''simple docstring'''







		if backend_specific_objects is None:
				_snake_case      			=			read_init()
		# For special correspondence backend to module name as used in the function requires_modulename
		_snake_case      			=			{}

		for backend, objects in backend_specific_objects.items():
				_snake_case      			=			"[" + ", ".join(f'''"{b}"''' for b in backend.split("_and_"    )    ) + "]"
				_snake_case      			=			"# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
				dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
				dummy_file += "\n".join([create_dummy_object(lowercase_		,				lowercase_    ) for o in objects]    )
				_snake_case      			=			dummy_file

		return dummy_files






def 						_lowercase						(      lowercase_=False    ):



		'''simple docstring'''







		_snake_case      			=			create_dummy_files()
		# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
		_snake_case      			=			{"torch": "pt"}

		# Locate actual dummy modules and read their content.
		_snake_case      			=			os.path.join(lowercase_		,				"utils"    )
		_snake_case      			=			{
		    backend: os.path.join(lowercase_		,				f'''dummy_{short_names.get(lowercase_		,				lowercase_    )}_objects.py'''    )
		    for backend in dummy_files.keys()
		}

		_snake_case      			=			{}
		for backend, file_path in dummy_file_paths.items():
				if os.path.isfile(lowercase_    ):
						with open(lowercase_		,				"r"		,				encoding="utf-8"		,				newline="\n"    ) as f:
								_snake_case      			=			f.read()
				else:
						_snake_case      			=			""

		for backend in dummy_files.keys():
				if dummy_files[backend] != actual_dummies[backend]:
						if overwrite:
								print(
								    f'''Updating transformers.utils.dummy_{short_names.get(lowercase_		,				lowercase_    )}_objects.py as the main '''
								    "__init__ has new objects."    )
								with open(dummy_file_paths[backend]		,				"w"		,				encoding="utf-8"		,				newline="\n"    ) as f:
										f.write(dummy_files[backend]    )
						else:
								raise ValueError(
								    "The main __init__ has objects that are not present in "
								    f'''transformers.utils.dummy_{short_names.get(lowercase_		,				lowercase_    )}_objects.py. Run `make fix-copies` '''
								    "to fix this."    )


if __name__ == "__main__":
						_lowerCamelCase				:		int				      =    argparse.ArgumentParser()
						parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
						_lowerCamelCase				:		List[Any]				      =    parser.parse_args()

						check_dummies(args.fix_and_overwrite)





