





'''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

lowercase__		:    str =       logging.get_logger(__name__)

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

lowercase__		:    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'
        ),
    },
}

lowercase__		:    Dict =       {
    'microsoft/deberta-base': 5_12,
    'microsoft/deberta-large': 5_12,
    'microsoft/deberta-xlarge': 5_12,
    'microsoft/deberta-base-mnli': 5_12,
    'microsoft/deberta-large-mnli': 5_12,
    'microsoft/deberta-xlarge-mnli': 5_12,
}

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







def       a__       (       )	->	Union[str, Any]:





     """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       a__       (       lowercase      :  Dict   )	->	Tuple:





     """simple docstring"""

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




class        __lowerCAmelCase  (					__magic_name__				):






       """simple docstring"""
       _snake_case			:  Union[str, Any]		       =					VOCAB_FILES_NAMES
       _snake_case			:  Tuple		       =					PRETRAINED_VOCAB_FILES_MAP
       _snake_case			:  Dict		       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _snake_case			:  str		       =					['input_ids', 'attention_mask', 'token_type_ids']





       def __init__(							self     :	Any ,				lowerCAmelCase__     :	str ,				lowerCAmelCase__     :	Union[str, Any] ,				lowerCAmelCase__     :	List[Any]="replace" ,				lowerCAmelCase__     :	Union[str, Any]="[CLS]" ,				lowerCAmelCase__     :	str="[SEP]" ,				lowerCAmelCase__     :	Any="[SEP]" ,				lowerCAmelCase__     :	Any="[CLS]" ,				lowerCAmelCase__     :	str="[UNK]" ,				lowerCAmelCase__     :	Optional[int]="[PAD]" ,				lowerCAmelCase__     :	Optional[int]="[MASK]" ,				lowerCAmelCase__     :	List[str]=False ,				lowerCAmelCase__     :	Union[str, Any]=False ,				**lowerCAmelCase__     :	Any ,				)					->  Any:

            '''simple docstring'''




            _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 snake_case__		(							self     :	Union[str, Any]  )					->  int:

            '''simple docstring'''




            return len(self.encoder  )





       def snake_case__		(							self     :	Optional[int]  )					->  Dict:

            '''simple docstring'''




            return dict(self.encoder ,				**self.added_tokens_encoder  )





       def snake_case__		(							self     :	Tuple ,				lowerCAmelCase__     :	List[str]  )					->  List[Any]:

            '''simple docstring'''




            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 snake_case__		(							self     :	int ,				lowerCAmelCase__     :	List[int] ,				lowerCAmelCase__     :	Optional[List[int]] = None  )					->  List[int]:

            '''simple docstring'''




            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 snake_case__		(							self     :	Tuple ,				lowerCAmelCase__     :	List[int] ,				lowerCAmelCase__     :	Optional[List[int]] = None ,				lowerCAmelCase__     :	bool = False  )					->  List[int]:

            '''simple docstring'''




            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 snake_case__		(							self     :	List[Any] ,				lowerCAmelCase__     :	List[int] ,				lowerCAmelCase__     :	Optional[List[int]] = None  )					->  List[int]:

            '''simple docstring'''




            _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 snake_case__		(							self     :	List[Any] ,				lowerCAmelCase__     :	List[str]  )					->  Dict:

            '''simple docstring'''




            _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 snake_case__		(							self     :	int ,				lowerCAmelCase__     :	Dict  )					->  List[str]:

            '''simple docstring'''




            return self.encoder.get(lowerCAmelCase__ ,				self.encoder.get(self.unk_token  )  )





       def snake_case__		(							self     :	List[Any] ,				lowerCAmelCase__     :	List[str]  )					->  Dict:

            '''simple docstring'''




            return self.decoder.get(lowerCAmelCase__  )





       def snake_case__		(							self     :	Dict ,				lowerCAmelCase__     :	Tuple  )					->  Optional[Any]:

            '''simple docstring'''




            _UpperCamelCase       					= ''''''.join(lowerCAmelCase__  )
            _UpperCamelCase       					= bytearray([self.byte_decoder[c] for c in text]  ).decode('''utf-8''' ,				errors=self.errors  )
            return text





       def snake_case__		(							self     :	int ,				lowerCAmelCase__     :	str ,				lowerCAmelCase__     :	Optional[str] = None  )					->  Tuple[str]:

            '''simple docstring'''




            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 snake_case__		(							self     :	Any ,				lowerCAmelCase__     :	int ,				lowerCAmelCase__     :	Union[str, Any]=False ,				**lowerCAmelCase__     :	Any  )					->  Optional[int]:

            '''simple docstring'''




            _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 snake_case__		(							self     :	List[Any] ,				lowerCAmelCase__     :	"Conversation"  )					->  List[int]:

            '''simple docstring'''




            _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 inspect

from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
   import jax
@require_flax
class        __lowerCAmelCase  :






       """simple docstring"""





       def snake_case__		(							self     :	str  )					->  Any:

            '''simple docstring'''




            _UpperCamelCase					,       _UpperCamelCase       					= self.prepare_init_args_and_inputs_for_common()

            _UpperCamelCase       					= self.model_class(**lowerCAmelCase__  )
            _UpperCamelCase       					= model.init(inputs_dict['''prng_key'''] ,				inputs_dict['''sample''']  )
            jax.lax.stop_gradient(lowerCAmelCase__  )

            _UpperCamelCase       					= model.apply(lowerCAmelCase__ ,				inputs_dict['''sample''']  )

            if isinstance(lowerCAmelCase__ ,				lowerCAmelCase__  ):
                 _UpperCamelCase       					= output.sample

            self.assertIsNotNone(lowerCAmelCase__  )
            _UpperCamelCase       					= inputs_dict['''sample'''].shape
            self.assertEqual(output.shape ,				lowerCAmelCase__ ,				'''Input and output shapes do not match'''  )





       def snake_case__		(							self     :	Any  )					->  int:

            '''simple docstring'''




            _UpperCamelCase					,       _UpperCamelCase       					= self.prepare_init_args_and_inputs_for_common()

            _UpperCamelCase       					= 16
            _UpperCamelCase       					= (16, 32)

            _UpperCamelCase       					= self.model_class(**lowerCAmelCase__  )
            _UpperCamelCase       					= model.init(inputs_dict['''prng_key'''] ,				inputs_dict['''sample''']  )
            jax.lax.stop_gradient(lowerCAmelCase__  )

            _UpperCamelCase       					= model.apply(lowerCAmelCase__ ,				inputs_dict['''sample''']  )

            if isinstance(lowerCAmelCase__ ,				lowerCAmelCase__  ):
                 _UpperCamelCase       					= output.sample

            self.assertIsNotNone(lowerCAmelCase__  )
            _UpperCamelCase       					= inputs_dict['''sample'''].shape
            self.assertEqual(output.shape ,				lowerCAmelCase__ ,				'''Input and output shapes do not match'''  )







       def snake_case__		(							self     :	int  )					->  int:

            '''simple docstring'''




            _UpperCamelCase       					= '''kwargs''' in inspect.signature(self.model_class.__init__  ).parameters
            _UpperCamelCase       					= len(self.model_class._deprecated_kwargs  ) > 0

            if has_kwarg_in_model_class and not has_deprecated_kwarg:
                 raise ValueError(
                     f"""{self.model_class} has `**kwargs` in its __init__ method but has not defined any deprecated kwargs"""
                     ''' under the `_deprecated_kwargs` class attribute. Make sure to either remove `**kwargs` if there are'''
                     ''' no deprecated arguments or add the deprecated argument with `_deprecated_kwargs ='''
                     ''' [<deprecated_argument>]`'''  )

            if not has_kwarg_in_model_class and has_deprecated_kwarg:
                 raise ValueError(
                     f"""{self.model_class} doesn't have `**kwargs` in its __init__ method but has defined deprecated kwargs"""
                     ''' under the `_deprecated_kwargs` class attribute. Make sure to either add the `**kwargs` argument to'''
                     f""" {self.model_class}.__init__ if there are deprecated arguments or remove the deprecated argument"""
                     ''' from `_deprecated_kwargs = [<deprecated_argument>]`'''  )



