




'''simple docstring'''



from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


lowerCamelCase_			=						logging.get_logger(__name__)

lowerCamelCase_			=						{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase_			=						{
    'vocab_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'
    },
    'merges_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'
    },
}

lowerCamelCase_			=						{'allegro/herbert-base-cased': 5_14}
lowerCamelCase_			=						{}







class 		lowercase_   (			A       ):


   """simple docstring"""

   lowerCamelCase_      =						VOCAB_FILES_NAMES
   lowerCamelCase_      =						PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase_      =						PRETRAINED_INIT_CONFIGURATION
   lowerCamelCase_      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase_      =						HerbertTokenizer



   def __init__(   self :     Union[str, Any]  ,				__lowerCamelCase :     Union[str, Any]=None  ,				__lowerCamelCase :     Union[str, Any]=None  ,				__lowerCamelCase :     str=None  ,				__lowerCamelCase :     Tuple="<s>"  ,				__lowerCamelCase :     Optional[int]="<unk>"  ,				__lowerCamelCase :     int="<pad>"  ,				__lowerCamelCase :     int="<mask>"  ,				__lowerCamelCase :     Tuple="</s>"  ,				**__lowerCamelCase :     str  ,				):

      """simple docstring"""
      super().__init__(
          __lowerCamelCase  ,				__lowerCamelCase  ,				tokenizer_file=__lowerCamelCase  ,				cls_token=__lowerCamelCase  ,				unk_token=__lowerCamelCase  ,				pad_token=__lowerCamelCase  ,				mask_token=__lowerCamelCase  ,				sep_token=__lowerCamelCase  ,				**__lowerCamelCase  ,				)



   def 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     List[int]  ,				__lowerCamelCase :     Optional[List[int]] = None   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[self.cls_token_id]
      _SCREAMING_SNAKE_CASE	=				[self.sep_token_id]
      if token_ids_a is None:
         return cls + token_ids_a + sep

      return cls + token_ids_a + sep + token_ids_a + sep



   def 							lowerCAmelCase_      (   self :     Optional[int]  ,				__lowerCamelCase :     List[int]  ,				__lowerCamelCase :     Optional[List[int]] = None  ,				__lowerCamelCase :     bool = False   ):

      """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 							lowerCAmelCase_      (   self :     Dict  ,				__lowerCamelCase :     List[int]  ,				__lowerCamelCase :     Optional[List[int]] = None   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[self.sep_token_id]
      _SCREAMING_SNAKE_CASE	=				[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 							lowerCAmelCase_      (   self :     List[Any]  ,				__lowerCamelCase :     str  ,				__lowerCamelCase :     Optional[str] = None   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self._tokenizer.model.save(__lowerCamelCase  ,				name=__lowerCamelCase   )
      return tuple(__lowerCamelCase   )







'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCamelCase_			=						{
    'configuration_ctrl': ['CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CTRLConfig'],
    'tokenization_ctrl': ['CTRLTokenizer'],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase_			=						[
     'CTRL_PRETRAINED_MODEL_ARCHIVE_LIST',
     'CTRLForSequenceClassification',
     'CTRLLMHeadModel',
     'CTRLModel',
     'CTRLPreTrainedModel',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase_			=						[
     'TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFCTRLForSequenceClassification',
     'TFCTRLLMHeadModel',
     'TFCTRLModel',
     'TFCTRLPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig
 from .tokenization_ctrl import CTRLTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_ctrl import (
      CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
      CTRLForSequenceClassification,
      CTRLLMHeadModel,
      CTRLModel,
      CTRLPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_ctrl import (
      TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFCTRLForSequenceClassification,
      TFCTRLLMHeadModel,
      TFCTRLModel,
      TFCTRLPreTrainedModel,
  )

else:
 import sys

 lowerCamelCase_			=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

