


"""simple docstring"""






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

SCREAMING_SNAKE_CASE__				:  Optional[Any]						= logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE__				:  List[Any]						= {
    "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"
        ),
    },
}

SCREAMING_SNAKE_CASE__				:  Union[str, Any]						= {
    "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,
}

SCREAMING_SNAKE_CASE__				:  int						= {
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}




def        A_					(					)     ->     Optional[int]:
   a   :	Tuple						=    (
       list(range(ord('!'				)       ,   ord('~'				) + 1				)				) + list(range(ord('¡'				)       ,   ord('¬'				) + 1				)				) + list(range(ord('®'				)       ,   ord('ÿ'				) + 1				)				)
   )
   a   :	Tuple						=    bs[:]
   a   :	List[Any]						=    0
   for b in range(2**8				):
      if b not in bs:
         bs.append(a_				)
         cs.append(2**8 + n				)
         n += 1
   a   :	int						=    [chr(a_				) for n in cs]
   return dict(zip(a_       ,   a_				)				)




def        A_					(					UpperCAmelCase__				)     ->     Dict:
   a   :	Union[str, Any]						=    set()
   a   :	Tuple						=    word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)				)
      a   :	int						=    char
   return pairs


class 	A_       (     lowerCAmelCase__   ):





  """simple docstring"""

  lowercase		:	Tuple   =						VOCAB_FILES_NAMES
  lowercase		:	Optional[int]   =						PRETRAINED_VOCAB_FILES_MAP
  lowercase		:	Union[str, Any]   =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowercase		:	Union[str, Any]   =						["input_ids", "attention_mask", "token_type_ids"]
  def __init__(						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase  ,					__UpperCAmelCase="replace"  ,					__UpperCAmelCase="[CLS]"  ,					__UpperCAmelCase="[SEP]"  ,					__UpperCAmelCase="[SEP]"  ,					__UpperCAmelCase="[CLS]"  ,					__UpperCAmelCase="[UNK]"  ,					__UpperCAmelCase="[PAD]"  ,					__UpperCAmelCase="[MASK]"  ,					__UpperCAmelCase=False  ,					__UpperCAmelCase=False  ,					**__UpperCAmelCase  ,					)				->					str:
     a   :	Optional[Any]						=    AddedToken(snake_case__  ,					lstrip=snake_case__  ,					rstrip=snake_case__						) if isinstance(snake_case__  ,					snake_case__						) else bos_token
     a   :	List[Any]						=    AddedToken(snake_case__  ,					lstrip=snake_case__  ,					rstrip=snake_case__						) if isinstance(snake_case__  ,					snake_case__						) else eos_token
     a   :	Any						=    AddedToken(snake_case__  ,					lstrip=snake_case__  ,					rstrip=snake_case__						) if isinstance(snake_case__  ,					snake_case__						) else sep_token
     a   :	List[Any]						=    AddedToken(snake_case__  ,					lstrip=snake_case__  ,					rstrip=snake_case__						) if isinstance(snake_case__  ,					snake_case__						) else cls_token
     a   :	Optional[int]						=    AddedToken(snake_case__  ,					lstrip=snake_case__  ,					rstrip=snake_case__						) if isinstance(snake_case__  ,					snake_case__						) else unk_token
     a   :	Tuple						=    AddedToken(snake_case__  ,					lstrip=snake_case__  ,					rstrip=snake_case__						) if isinstance(snake_case__  ,					snake_case__						) else pad_token

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

     super().__init__(
         errors=snake_case__  ,					bos_token=snake_case__  ,					eos_token=snake_case__  ,					unk_token=snake_case__  ,					sep_token=snake_case__  ,					cls_token=snake_case__  ,					pad_token=snake_case__  ,					mask_token=snake_case__  ,					add_prefix_space=snake_case__  ,					add_bos_token=snake_case__  ,					**snake_case__  ,					)
     a   :	Any						=    add_bos_token

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

     # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
     a   :	int						=    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 							lowercase_     (						self						)				->					Tuple:
     return len(self.encoder						)
  def 							lowercase_     (						self						)				->					Any:
     return dict(self.encoder  ,					**self.added_tokens_encoder						)
  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Tuple:





     if token in self.cache:
        return self.cache[token]
     a   :	List[Any]						=    tuple(snake_case__						)
     a   :	Tuple						=    get_pairs(snake_case__						)

     if not pairs:
        return token

     while True:
        a   :	List[Any]						=    min(snake_case__  ,					key=lambda __UpperCAmelCase						: self.bpe_ranks.get(snake_case__  ,					float('inf'						)						)						)
        if bigram not in self.bpe_ranks:
           break
        a	, a   :	int						=    bigram
        a   :	List[str]						=    []
        a   :	Any						=    0
        while i < len(snake_case__						):
           try:
              a   :	Optional[Any]						=    word.index(snake_case__  ,					snake_case__						)
           except ValueError:
              new_word.extend(word[i:]						)
              break
           else:
              new_word.extend(word[i:j]						)
              a   :	List[str]						=    j

           if word[i] == first and i < len(snake_case__						) - 1 and word[i + 1] == second:
              new_word.append(first + second						)
              i += 2
           else:
              new_word.append(word[i]						)
              i += 1
        a   :	Any						=    tuple(snake_case__						)
        a   :	List[Any]						=    new_word
        if len(snake_case__						) == 1:
           break
        else:
           a   :	int						=    get_pairs(snake_case__						)
     a   :	int						=    ' '.join(snake_case__						)
     a   :	Optional[Any]						=    word
     return word
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase = None						)				->					Optional[int]:





     if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     a   :	Optional[Any]						=    [self.cls_token_id]
     a   :	Optional[Any]						=    [self.sep_token_id]
     return cls + token_ids_a + sep + token_ids_a + sep
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase = None  ,					__UpperCAmelCase = False						)				->					List[Any]:





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

     if token_ids_a is None:
        return [1] + ([0] * len(snake_case__						)) + [1]
     return [1] + ([0] * len(snake_case__						)) + [1] + ([0] * len(snake_case__						)) + [1]
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase = None						)				->					List[str]:
     a   :	str						=    [self.sep_token_id]
     a   :	Union[str, Any]						=    [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 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Optional[Any]:
     a   :	Tuple						=    []
     for token in re.findall(self.pat  ,					snake_case__						):
        a   :	Tuple						=    ''.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(snake_case__						).split(' '						)						)
     return bpe_tokens
  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Dict:
     return self.encoder.get(snake_case__  ,					self.encoder.get(self.unk_token						)						)
  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Union[str, Any]:
     return self.decoder.get(snake_case__						)
  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					int:
     a   :	str						=    ''.join(snake_case__						)
     a   :	Any						=    bytearray([self.byte_decoder[c] for c in text]						).decode('utf-8'  ,					errors=self.errors						)
     return text
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase = None						)				->					List[str]:





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

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

     a   :	List[str]						=    0
     with open(snake_case__  ,					'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 __UpperCAmelCase						: 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!'						)
              a   :	Any						=    token_index
           writer.write(' '.join(snake_case__						) + '\n'						)
           index += 1

     return vocab_file, merge_file
  def 							lowercase_     (						self  ,					__UpperCAmelCase  ,					__UpperCAmelCase=False  ,					**__UpperCAmelCase						)				->					List[str]:
     a   :	Any						=    kwargs.pop('add_prefix_space'  ,					self.add_prefix_space						)
     if (is_split_into_words or add_prefix_space) and (len(snake_case__						) > 0 and not text[0].isspace()):
        a   :	Tuple						=    ' ' + text
     return (text, kwargs)






  def 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					int:
     a   :	int						=    []
     for is_user, text in conversation.iter_texts():
        input_ids.extend(self.encode(snake_case__  ,					add_special_tokens=snake_case__						) + [self.eos_token_id]						)
     if len(snake_case__						) > self.model_max_length:
        a   :	str						=    input_ids[-self.model_max_length :]
     return input_ids







from __future__ import annotations

from typing import Any

class        UpperCamelCase__:

	"""simple docstring"""

	def __init__(      self				:			Dict							,			snake_case__				:			Any							,			snake_case__				:			Any ):  # noqa: A002
			"""simple docstring"""





			A				=item
			A				=next


class        UpperCamelCase__:

	"""simple docstring"""

	def __init__(      self				:			Optional[Any] ):
			"""simple docstring"""





			A				=None
			A				=0







	def        _a					(      self				:			str							,			snake_case__				:			Any ):
			"""simple docstring"""





			A				=Node(snake_case__							,			self.head )
			self.size += 1







	def        _a					(      self				:			Dict ):
			"""simple docstring"""





			if self.head is None:
					return None
			else:
					A				=self.head.item
					A				=self.head.next
					self.size -= 1
					return item







	def        _a					(      self				:			Any ):
			"""simple docstring"""





			return self.head is None







	def __str__(      self				:			Dict ):
			"""simple docstring"""





			if self.is_empty():
					return ""
			else:
					A				=self.head
					A				=""
					A				=[]
					while iterate:
							item_list.append(str(iterate.item ) )
							A				=iterate.next

					A				=" --> ".join(snake_case__ )

					return item_str







	def __len__(      self				:			Union[str, Any] ):
			"""simple docstring"""





			return self.size




