




"""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_      =					logging.get_logger(__name__)

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

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





def     __snake_case   (							):


    """simple docstring"""







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





def     __snake_case   (							_lowercase						):


    """simple docstring"""







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


class 							snake_case_ (				lowerCamelCase_ ):







   """simple docstring"""




   A_										=					VOCAB_FILES_NAMES
   A_										=					PRETRAINED_VOCAB_FILES_MAP
   A_										=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A_										=					['''input_ids''', '''attention_mask''', '''token_type_ids''']







   def __init__(		self					,				lowerCamelCase_					,				lowerCamelCase_					,				lowerCamelCase_="replace"					,				lowerCamelCase_="[CLS]"					,				lowerCamelCase_="[SEP]"					,				lowerCamelCase_="[SEP]"					,				lowerCamelCase_="[CLS]"					,				lowerCamelCase_="[UNK]"					,				lowerCamelCase_="[PAD]"					,				lowerCamelCase_="[MASK]"					,				lowerCamelCase_=False					,				lowerCamelCase_=False					,				**lowerCamelCase_					,				)							->      Union[str, Any]:
       UpperCamelCase										=  AddedToken(lowerCamelCase_					,				lstrip=lowerCamelCase_					,				rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_					,				lowerCamelCase_) else bos_token
       UpperCamelCase										=  AddedToken(lowerCamelCase_					,				lstrip=lowerCamelCase_					,				rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_					,				lowerCamelCase_) else eos_token
       UpperCamelCase										=  AddedToken(lowerCamelCase_					,				lstrip=lowerCamelCase_					,				rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_					,				lowerCamelCase_) else sep_token
       UpperCamelCase										=  AddedToken(lowerCamelCase_					,				lstrip=lowerCamelCase_					,				rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_					,				lowerCamelCase_) else cls_token
       UpperCamelCase										=  AddedToken(lowerCamelCase_					,				lstrip=lowerCamelCase_					,				rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_					,				lowerCamelCase_) else unk_token
       UpperCamelCase										=  AddedToken(lowerCamelCase_					,				lstrip=lowerCamelCase_					,				rstrip=lowerCamelCase_) if isinstance(lowerCamelCase_					,				lowerCamelCase_) else pad_token

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

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

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

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       UpperCamelCase										=  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)							->      List[str]:
       return len(self.encoder)







   def      UpperCAmelCase__ (		self)							->      List[str]:
       return dict(self.encoder					,				**self.added_tokens_encoder)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      str:
       if token in self.cache:
           return self.cache[token]
       UpperCamelCase										=  tuple(lowerCamelCase_)
       UpperCamelCase										=  get_pairs(lowerCamelCase_)

       if not pairs:
           return token

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

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







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_					,				lowerCamelCase_ = None)							->      List[int]:
       if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       UpperCamelCase										=  [self.cls_token_id]
       UpperCamelCase										=  [self.sep_token_id]
       return cls + token_ids_a + sep + token_ids_a + sep







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_					,				lowerCamelCase_ = None					,				lowerCamelCase_ = False)							->      List[int]:
       if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=lowerCamelCase_					,				token_ids_a=lowerCamelCase_					,				already_has_special_tokens=lowerCamelCase_)

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







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_					,				lowerCamelCase_ = None)							->      List[int]:
       UpperCamelCase										=  [self.sep_token_id]
       UpperCamelCase										=  [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					,				lowerCamelCase_)							->      Union[str, Any]:
       UpperCamelCase										=  []
       for token in re.findall(self.pat					,				lowerCamelCase_):
           UpperCamelCase										=  ''''''.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(lowerCamelCase_).split(''' '''))
       return bpe_tokens







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Optional[Any]:
       return self.encoder.get(lowerCamelCase_					,				self.encoder.get(self.unk_token))







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Optional[Any]:
       return self.decoder.get(lowerCamelCase_)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Tuple:
       UpperCamelCase										=  ''''''.join(lowerCamelCase_)
       UpperCamelCase										=  bytearray([self.byte_decoder[c] for c in text]).decode('''utf-8'''					,				errors=self.errors)
       return text







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_					,				lowerCamelCase_ = None)							->      Tuple[str]:
       if not os.path.isdir(lowerCamelCase_):
           logger.error(F'Vocabulary path ({save_directory}) should be a directory')
           return
       UpperCamelCase										=  os.path.join(
           lowerCamelCase_					,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])
       UpperCamelCase										=  os.path.join(
           lowerCamelCase_					,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''])

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

       UpperCamelCase										=  0
       with open(lowerCamelCase_					,				'''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 lowerCamelCase_: 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(lowerCamelCase_) + '''\n''')
               index += 1

       return vocab_file, merge_file







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_					,				lowerCamelCase_=False					,				**lowerCamelCase_)							->      Tuple:
       UpperCamelCase										=  kwargs.pop('''add_prefix_space'''					,				self.add_prefix_space)
       if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase_) > 0 and not text[0].isspace()):
           UpperCamelCase										=  ''' ''' + text
       return (text, kwargs)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      List[int]:
       UpperCamelCase										=  []
       for is_user, text in conversation.iter_texts():
           input_ids.extend(self.encode(lowerCamelCase_					,				add_special_tokens=lowerCamelCase_) + [self.eos_token_id])
       if len(lowerCamelCase_) > self.model_max_length:
           UpperCamelCase										=  input_ids[-self.model_max_length :]
       return input_ids





"""simple docstring"""







import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig

class 							snake_case_ (				lowerCamelCase_ ):







   """simple docstring"""




   A_										=					CustomConfig







   def __init__(		self					,				lowerCamelCase_)							->      List[Any]:
       super().__init__(lowerCamelCase_)
       UpperCamelCase										=  torch.nn.Linear(config.hidden_size					,				config.hidden_size)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Optional[Any]:
       return self.linear(lowerCamelCase_)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      List[str]:
       pass

class 							snake_case_ (				lowerCamelCase_ ):







   """simple docstring"""




   A_										=					NoSuperInitConfig







   def __init__(		self					,				lowerCamelCase_)							->      Optional[int]:
       super().__init__(lowerCamelCase_)
       UpperCamelCase										=  torch.nn.Linear(config.attribute					,				config.attribute)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      int:
       return self.linear(lowerCamelCase_)







   def      UpperCAmelCase__ (		self					,				lowerCamelCase_)							->      Any:
       pass