





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


_snake_case    :       Union[str, Any]		       =    logging.get_logger(__name__)

_snake_case    :       Union[str, Any]		       =    {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_snake_case    :       Optional[int]		       =    {
    '''vocab_file''': {
        '''junnyu/roformer_chinese_small''': '''https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt''',
        '''junnyu/roformer_chinese_base''': '''https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt''',
        '''junnyu/roformer_chinese_char_small''': (
            '''https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt'''
        ),
        '''junnyu/roformer_chinese_char_base''': (
            '''https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt'''
        ),
        '''junnyu/roformer_small_discriminator''': (
            '''https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt'''
        ),
        '''junnyu/roformer_small_generator''': (
            '''https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt'''
        ),
    }
}

_snake_case    :       List[str]		       =    {
    '''junnyu/roformer_chinese_small''': 1536,
    '''junnyu/roformer_chinese_base''': 1536,
    '''junnyu/roformer_chinese_char_small''': 512,
    '''junnyu/roformer_chinese_char_base''': 512,
    '''junnyu/roformer_small_discriminator''': 128,
    '''junnyu/roformer_small_generator''': 128,
}


_snake_case    :       str		       =    {
    '''junnyu/roformer_chinese_small''': {'''do_lower_case''': True},
    '''junnyu/roformer_chinese_base''': {'''do_lower_case''': True},
    '''junnyu/roformer_chinese_char_small''': {'''do_lower_case''': True},
    '''junnyu/roformer_chinese_char_base''': {'''do_lower_case''': True},
    '''junnyu/roformer_small_discriminator''': {'''do_lower_case''': True},
    '''junnyu/roformer_small_generator''': {'''do_lower_case''': True},
}



class 							_UpperCAmelCase       (       _UpperCamelCase       ):

  """simple docstring"""


  a_              =					VOCAB_FILES_NAMES
  a_              =					PRETRAINED_VOCAB_FILES_MAP
  a_              =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a_              =					PRETRAINED_INIT_CONFIGURATION
  a_              =					RoFormerTokenizer






  def __init__(							self					:						Dict   ,    lowerCAmelCase_					:						List[str]=None   ,    lowerCAmelCase_					:						Union[str, Any]=None   ,    lowerCAmelCase_					:						Optional[Any]=True   ,    lowerCAmelCase_					:						Optional[Any]="[UNK]"   ,    lowerCAmelCase_					:						Tuple="[SEP]"   ,    lowerCAmelCase_					:						Optional[int]="[PAD]"   ,    lowerCAmelCase_					:						Any="[CLS]"   ,    lowerCAmelCase_					:						str="[MASK]"   ,    lowerCAmelCase_					:						List[Any]=True   ,    lowerCAmelCase_					:						Optional[int]=None   ,    **lowerCAmelCase_					:						str   ,    )				->		Dict:
     super().__init__(
         _lowerCAmelCase   ,    tokenizer_file=_lowerCAmelCase   ,    do_lower_case=_lowerCAmelCase   ,    unk_token=_lowerCAmelCase   ,    sep_token=_lowerCAmelCase   ,    pad_token=_lowerCAmelCase   ,    cls_token=_lowerCAmelCase   ,    mask_token=_lowerCAmelCase   ,    tokenize_chinese_chars=_lowerCAmelCase   ,    strip_accents=_lowerCAmelCase   ,    **_lowerCAmelCase   ,    )

     __lowerCAmelCase				      =      json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
     if (
         pre_tok_state.get('lowercase'   ,    _lowerCAmelCase	) != do_lower_case
         or pre_tok_state.get('strip_accents'   ,    _lowerCAmelCase	) != strip_accents
     ):
        __lowerCAmelCase				      =      getattr(_lowerCAmelCase   ,    pre_tok_state.pop('type'	)	)
        __lowerCAmelCase				      =      do_lower_case
        __lowerCAmelCase				      =      strip_accents
        __lowerCAmelCase				      =      pre_tok_class(**_lowerCAmelCase	)

     __lowerCAmelCase				      =      do_lower_case






  def __getstate__(							self					:						Dict	)				->		str:
     __lowerCAmelCase				      =      self.__dict__.copy()
     __lowerCAmelCase				      =      BertPreTokenizer()
     return state






  def __setstate__(							self					:						str   ,    lowerCAmelCase_					:						List[Any]	)				->		Dict:
     __lowerCAmelCase				      =      d
     __lowerCAmelCase				      =      self.__dict__['_tokenizer'].get_vocab()
     __lowerCAmelCase				      =      PreTokenizer.custom(JiebaPreTokenizer(_lowerCAmelCase	)	)






  def 							lowercase						(							self					:						Optional[Any]   ,    lowerCAmelCase_					:						Any   ,    lowerCAmelCase_					:						List[str]=None	)				->		Optional[int]:
     __lowerCAmelCase				      =      [self.cls_token_id] + token_ids_a + [self.sep_token_id]

     if token_ids_a:
        output += token_ids_a + [self.sep_token_id]

     return output






  def 							lowercase						(							self					:						Any   ,    lowerCAmelCase_					:						List[int]   ,    lowerCAmelCase_					:						Optional[List[int]] = None	)				->		List[int]:
     __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 							lowercase						(							self					:						str   ,    lowerCAmelCase_					:						str   ,    lowerCAmelCase_					:						Optional[str] = None	)				->		Tuple[str]:
     __lowerCAmelCase				      =      self._tokenizer.model.save(_lowerCAmelCase   ,    name=_lowerCAmelCase	)
     return tuple(_lowerCAmelCase	)






  def 							lowercase						(							self					:						Any   ,    lowerCAmelCase_					:						List[Any]   ,    lowerCAmelCase_					:						int=None   ,    lowerCAmelCase_					:						str=None   ,    lowerCAmelCase_					:						Dict=False   ,    **lowerCAmelCase_					:						List[str]   ,    )				->		List[Any]:
     __lowerCAmelCase				      =      BertPreTokenizer()
     return super().save_pretrained(_lowerCAmelCase   ,    _lowerCAmelCase   ,    _lowerCAmelCase   ,    _lowerCAmelCase   ,    **_lowerCAmelCase	)





from .integrations import (
    is_optuna_available,
    is_ray_available,
    is_sigopt_available,
    is_wandb_available,
    run_hp_search_optuna,
    run_hp_search_ray,
    run_hp_search_sigopt,
    run_hp_search_wandb,
)
from .trainer_utils import (
    HPSearchBackend,
    default_hp_space_optuna,
    default_hp_space_ray,
    default_hp_space_sigopt,
    default_hp_space_wandb,
)
from .utils import logging


SCREAMING_SNAKE_CASE						:Union[str, Any]			=  logging.get_logger(__name__)


class      __lowerCAmelCase  :






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							42
  _SCREAMING_SNAKE_CASE		     =							None



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			Any:




     """simple docstring"""
     raise NotImplementedError



  def        lowerCAmelCase__	(  self							:							Dict     ,					_lowerCAmelCase							:							List[str]     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							int	) ->			str:




     """simple docstring"""
     raise NotImplementedError



  def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							List[str]	) ->			Optional[int]:




     """simple docstring"""
     raise NotImplementedError



  def        lowerCAmelCase__	(  self							:							Optional[int]	) ->			List[str]:




     """simple docstring"""
     if not self.is_available():
        raise RuntimeError(
            F'''You picked the {self.name} backend, but it is not installed. Run {self.pip_install()}.'''	)



  @classmethod
  def        lowerCAmelCase__	(  cls							:							Dict	) ->			Tuple:




     """simple docstring"""
     return F'''`pip install {cls.pip_package or cls.name}`'''






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'optuna'



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			Optional[Any]:




     """simple docstring"""
     return is_optuna_available()



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Optional[int]	) ->			Optional[int]:




     """simple docstring"""
     return run_hp_search_optuna(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							int	) ->			str:




     """simple docstring"""
     return default_hp_space_optuna(_lowerCAmelCase	)






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'ray'
  _SCREAMING_SNAKE_CASE		     =							'\'ray[tune]\''



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			Optional[Any]:




     """simple docstring"""
     return is_ray_available()



  def        lowerCAmelCase__	(  self							:							List[Any]     ,					_lowerCAmelCase							:							List[Any]     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							List[Any]	) ->			List[str]:




     """simple docstring"""
     return run_hp_search_ray(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



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




     """simple docstring"""
     return default_hp_space_ray(_lowerCAmelCase	)






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'sigopt'



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			List[str]:




     """simple docstring"""
     return is_sigopt_available()



  def        lowerCAmelCase__	(  self							:							str     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Tuple	) ->			str:




     """simple docstring"""
     return run_hp_search_sigopt(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Optional[Any]     ,					_lowerCAmelCase							:							Tuple	) ->			Union[str, Any]:




     """simple docstring"""
     return default_hp_space_sigopt(_lowerCAmelCase	)






class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'wandb'



  @staticmethod
  def        lowerCAmelCase__	(  ) ->			List[Any]:




     """simple docstring"""
     return is_wandb_available()



  def        lowerCAmelCase__	(  self							:							List[Any]     ,					_lowerCAmelCase							:							Tuple     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Any	) ->			Dict:




     """simple docstring"""
     return run_hp_search_wandb(_lowerCAmelCase     ,					_lowerCAmelCase     ,					_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							List[str]	) ->			Any:




     """simple docstring"""
     return default_hp_space_wandb(_lowerCAmelCase	)






SCREAMING_SNAKE_CASE						:Union[str, Any]			=  {
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}



def       _lowerCAmelCase    (				)->str:
   '''simple docstring'''






   snake_case_            =       [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
   if len(lowerCAmelCase_				) > 0:
      snake_case_            =       available_backends[0].name
      if len(lowerCAmelCase_				) > 1:
         logger.info(
             F'''{len(lowerCAmelCase_				)} hyperparameter search backends available. Using {name} as the default.'''				)
      return name
   raise RuntimeError(
       "No hyperparameter search backend available.\n"
       + "\n".join(
           F''' - To install {backend.name} run {backend.pip_install()}'''
           for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values()				)				)




