
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_funnel import FunnelTokenizer


__lowerCamelCase				=			logging.get_logger(__name__)

__lowerCamelCase				=			{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

__lowerCamelCase				=			[
    """small""",
    """small-base""",
    """medium""",
    """medium-base""",
    """intermediate""",
    """intermediate-base""",
    """large""",
    """large-base""",
    """xlarge""",
    """xlarge-base""",
]

__lowerCamelCase				=			{
    """vocab_file""": {
        """funnel-transformer/small""": """https://huggingface.co/funnel-transformer/small/resolve/main/vocab.txt""",
        """funnel-transformer/small-base""": """https://huggingface.co/funnel-transformer/small-base/resolve/main/vocab.txt""",
        """funnel-transformer/medium""": """https://huggingface.co/funnel-transformer/medium/resolve/main/vocab.txt""",
        """funnel-transformer/medium-base""": (
            """https://huggingface.co/funnel-transformer/medium-base/resolve/main/vocab.txt"""
        ),
        """funnel-transformer/intermediate""": (
            """https://huggingface.co/funnel-transformer/intermediate/resolve/main/vocab.txt"""
        ),
        """funnel-transformer/intermediate-base""": (
            """https://huggingface.co/funnel-transformer/intermediate-base/resolve/main/vocab.txt"""
        ),
        """funnel-transformer/large""": """https://huggingface.co/funnel-transformer/large/resolve/main/vocab.txt""",
        """funnel-transformer/large-base""": """https://huggingface.co/funnel-transformer/large-base/resolve/main/vocab.txt""",
        """funnel-transformer/xlarge""": """https://huggingface.co/funnel-transformer/xlarge/resolve/main/vocab.txt""",
        """funnel-transformer/xlarge-base""": (
            """https://huggingface.co/funnel-transformer/xlarge-base/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """funnel-transformer/small""": """https://huggingface.co/funnel-transformer/small/resolve/main/tokenizer.json""",
        """funnel-transformer/small-base""": (
            """https://huggingface.co/funnel-transformer/small-base/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/medium""": """https://huggingface.co/funnel-transformer/medium/resolve/main/tokenizer.json""",
        """funnel-transformer/medium-base""": (
            """https://huggingface.co/funnel-transformer/medium-base/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/intermediate""": (
            """https://huggingface.co/funnel-transformer/intermediate/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/intermediate-base""": (
            """https://huggingface.co/funnel-transformer/intermediate-base/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/large""": """https://huggingface.co/funnel-transformer/large/resolve/main/tokenizer.json""",
        """funnel-transformer/large-base""": (
            """https://huggingface.co/funnel-transformer/large-base/resolve/main/tokenizer.json"""
        ),
        """funnel-transformer/xlarge""": """https://huggingface.co/funnel-transformer/xlarge/resolve/main/tokenizer.json""",
        """funnel-transformer/xlarge-base""": (
            """https://huggingface.co/funnel-transformer/xlarge-base/resolve/main/tokenizer.json"""
        ),
    },
}
__lowerCamelCase				=			{F'funnel-transformer/{name}': 5_12 for name in _model_names}
__lowerCamelCase				=			{F'funnel-transformer/{name}': {"""do_lower_case""": True} for name in _model_names}






class     UpperCAmelCase						(		A_					):
   A__   :						int			=	VOCAB_FILES_NAMES
   A__   :						Any			=	PRETRAINED_VOCAB_FILES_MAP
   A__   :						Tuple			=	PRETRAINED_INIT_CONFIGURATION
   A__   :						Tuple			=	FunnelTokenizer
   A__   :						str			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A__   :						int			=	2



   def __init__(self						:   List[str]       ,		snake_case__						:   Tuple=None       ,		snake_case__						:   Tuple=None       ,		snake_case__						:   Any=True       ,		snake_case__						:   int="<unk>"       ,		snake_case__						:   Tuple="<sep>"       ,		snake_case__						:   int="<pad>"       ,		snake_case__						:   Optional[int]="<cls>"       ,		snake_case__						:   Optional[int]="<mask>"       ,		snake_case__						:   Any="<s>"       ,		snake_case__						:   str="</s>"       ,		snake_case__						:   Optional[int]=True       ,		snake_case__						:   str=True       ,		snake_case__						:   Dict=None       ,		snake_case__						:   int="##"       ,		**snake_case__						:   Union[str, Any]       ,		)						->      List[Any]:


          '''simple docstring'''


          super().__init__(
              snake_case__       ,		tokenizer_file=snake_case__       ,		do_lower_case=snake_case__       ,		unk_token=snake_case__       ,		sep_token=snake_case__       ,		pad_token=snake_case__       ,		cls_token=snake_case__       ,		mask_token=snake_case__       ,		bos_token=snake_case__       ,		eos_token=snake_case__       ,		clean_text=snake_case__       ,		tokenize_chinese_chars=snake_case__       ,		strip_accents=snake_case__       ,		wordpieces_prefix=snake_case__       ,		**snake_case__       ,		)

          snake_case			:  Optional[int]     							= json.loads(self.backend_tokenizer.normalizer.__getstate__()					)
          if (
              normalizer_state.get("lowercase"       ,		snake_case__					) != do_lower_case
              or normalizer_state.get("strip_accents"       ,		snake_case__					) != strip_accents
              or normalizer_state.get("handle_chinese_chars"       ,		snake_case__					) != tokenize_chinese_chars
          ):
                 snake_case			:  List[Any]     							= getattr(snake_case__       ,		normalizer_state.pop("type"					)					)
                 snake_case			:  Union[str, Any]     							= do_lower_case
                 snake_case			:  Optional[int]     							= strip_accents
                 snake_case			:  List[Any]     							= tokenize_chinese_chars
                 snake_case			:  List[Any]     							= normalizer_class(**snake_case__					)

          snake_case			:  Optional[Any]     							= do_lower_case



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


          '''simple docstring'''


          snake_case			:  List[str]     							= [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 							_SCREAMING_SNAKE_CASE  (self						:   int       ,		snake_case__						:   List[int]       ,		snake_case__						:   Optional[List[int]] = None					)						->      List[int]:


          '''simple docstring'''


          snake_case			:  List[str]     							= [self.sep_token_id]
          snake_case			:  Optional[int]     							= [self.cls_token_id]
          if token_ids_a is None:
                 return len(cls					) * [self.cls_token_type_id] + len(token_ids_a + sep					) * [0]
          return len(cls					) * [self.cls_token_type_id] + len(token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]



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


          '''simple docstring'''


          snake_case			:  Optional[int]     							= self._tokenizer.model.save(snake_case__       ,		name=snake_case__					)
          return tuple(snake_case__					)







__lowerCamelCase				=			"""Tobias Carryer"""

from time import time






class     UpperCAmelCase						:



   def __init__(self						:   Dict       ,		snake_case__						:   Optional[Any]       ,		snake_case__						:   Optional[Any]       ,		snake_case__						:   str       ,		snake_case__						:   Optional[int]=int(time()					)					)						->      List[Any]:  # noqa: B008


          '''simple docstring'''


          snake_case			:  Dict     							= multiplier
          snake_case			:  Dict     							= increment
          snake_case			:  Union[str, Any]     							= modulo
          snake_case			:  Tuple     							= seed



   def 							_SCREAMING_SNAKE_CASE  (self						:   List[Any]					)						->      Any:


          '''simple docstring'''


          snake_case			:  Optional[int]     							= (self.multiplier * self.seed + self.increment) % self.modulo
          return self.seed


if __name__ == "__main__":
   # Show the LCG in action.
   __lowerCamelCase				=			LinearCongruentialGenerator(1_66_45_25, 10_13_90_42_23, 2 << 31)
   while True:
      print(lcg.next_number())





