
"""simple docstring"""

from typing import List, Optional, Tuple

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


SCREAMING_SNAKE_CASE_            =    logging.get_logger(__name__)

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

SCREAMING_SNAKE_CASE_            =    {
    '''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'''
    },
}

SCREAMING_SNAKE_CASE_            =    {'''allegro/herbert-base-cased''': 514}
SCREAMING_SNAKE_CASE_            =    {}
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE :				Optional[int]				   =						PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE :				Dict				   =						PRETRAINED_INIT_CONFIGURATION
      __SCREAMING_SNAKE_CASE :				Dict				   =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE :				List[str]				   =						HerbertTokenizer




      def __init__(				self ,							lowercase_=None ,							lowercase_=None ,							lowercase_=None ,							lowercase_="<s>" ,							lowercase_="<unk>" ,							lowercase_="<pad>" ,							lowercase_="<mask>" ,							lowercase_="</s>" ,							**lowercase_ ,							)    ->       Dict:
          super().__init__(
              lowercase_ ,							lowercase_ ,							tokenizer_file=lowercase_ ,							cls_token=lowercase_ ,							unk_token=lowercase_ ,							pad_token=lowercase_ ,							mask_token=lowercase_ ,							sep_token=lowercase_ ,							**lowercase_ ,							)




      def      a_   (				self ,							lowercase_ ,							lowercase_ = None				)    ->       List[int]:
          UpperCAmelCase          =       [self.cls_token_id]
          UpperCAmelCase          =       [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      a_   (				self ,							lowercase_ ,							lowercase_ = None ,							lowercase_ = False				)    ->       List[int]:
          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=lowercase_ ,							token_ids_a=lowercase_ ,							already_has_special_tokens=lowercase_				)

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




      def      a_   (				self ,							lowercase_ ,							lowercase_ = 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      a_   (				self ,							lowercase_ ,							lowercase_ = None				)    ->       Tuple[str]:
          UpperCAmelCase          =       self._tokenizer.model.save(lowercase_ ,							name=lowercase_				)
          return tuple(lowercase_				)





"""simple docstring"""

from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE_            =    {
    '''configuration_roc_bert''': ['''ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''RoCBertConfig'''],
    '''tokenization_roc_bert''': ['''RoCBertTokenizer'''],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   pass

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   SCREAMING_SNAKE_CASE_            =    [
       '''ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''RoCBertForCausalLM''',
       '''RoCBertForMaskedLM''',
       '''RoCBertForMultipleChoice''',
       '''RoCBertForPreTraining''',
       '''RoCBertForQuestionAnswering''',
       '''RoCBertForSequenceClassification''',
       '''RoCBertForTokenClassification''',
       '''RoCBertLayer''',
       '''RoCBertModel''',
       '''RoCBertPreTrainedModel''',
       '''load_tf_weights_in_roc_bert''',
   ]

if TYPE_CHECKING:
   from .configuration_roc_bert import ROC_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RoCBertConfig
   from .tokenization_roc_bert import RoCBertTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      raise OptionalDependencyNotAvailable()

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_roc_bert import (
          ROC_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
          RoCBertForCausalLM,
          RoCBertForMaskedLM,
          RoCBertForMultipleChoice,
          RoCBertForPreTraining,
          RoCBertForQuestionAnswering,
          RoCBertForSequenceClassification,
          RoCBertForTokenClassification,
          RoCBertLayer,
          RoCBertModel,
          RoCBertPreTrainedModel,
          load_tf_weights_in_roc_bert,
      )


else:
   import sys

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



