
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


lowerCamelCase__     :		int        = logging.get_logger(__name__)

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

lowerCamelCase__     :		int        = {
    """vocab_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"""
        ),
        """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt""",
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"""
        ),
    },
}

lowerCamelCase__     :		Dict        = {
    """squeezebert/squeezebert-uncased""": 5_1_2,
    """squeezebert/squeezebert-mnli""": 5_1_2,
    """squeezebert/squeezebert-mnli-headless""": 5_1_2,
}


lowerCamelCase__     :		List[str]        = {
    """squeezebert/squeezebert-uncased""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli-headless""": {"""do_lower_case""": True},
}



class    _snake_case (						UpperCAmelCase_				):
 __lowerCAmelCase	:  List[Any]	   =      VOCAB_FILES_NAMES
 __lowerCAmelCase	:  str	   =      PRETRAINED_VOCAB_FILES_MAP
 __lowerCAmelCase	:  List[str]	   =      PRETRAINED_INIT_CONFIGURATION
 __lowerCAmelCase	:  Union[str, Any]	   =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCAmelCase	:  Dict	   =      SqueezeBertTokenizer


 def __init__(       self       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_=True       ,	SCREAMING_SNAKE_CASE_="[UNK]"       ,	SCREAMING_SNAKE_CASE_="[SEP]"       ,	SCREAMING_SNAKE_CASE_="[PAD]"       ,	SCREAMING_SNAKE_CASE_="[CLS]"       ,	SCREAMING_SNAKE_CASE_="[MASK]"       ,	SCREAMING_SNAKE_CASE_=True       ,	SCREAMING_SNAKE_CASE_=None       ,	**SCREAMING_SNAKE_CASE_       ,	):


   '''simple docstring'''




   super().__init__(
       SCREAMING_SNAKE_CASE_       ,	tokenizer_file=SCREAMING_SNAKE_CASE_       ,	do_lower_case=SCREAMING_SNAKE_CASE_       ,	unk_token=SCREAMING_SNAKE_CASE_       ,	sep_token=SCREAMING_SNAKE_CASE_       ,	pad_token=SCREAMING_SNAKE_CASE_       ,	cls_token=SCREAMING_SNAKE_CASE_       ,	mask_token=SCREAMING_SNAKE_CASE_       ,	tokenize_chinese_chars=SCREAMING_SNAKE_CASE_       ,	strip_accents=SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_       ,	)

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

   lowercase__	: Optional[int]     		=   do_lower_case


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_=None):


   '''simple docstring'''




   lowercase__	: Dict     		=   [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       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_ = None):


   '''simple docstring'''




   lowercase__	: Dict     		=   [self.sep_token_id]
   lowercase__	: List[str]     		=   [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       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_ = None):


   '''simple docstring'''




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








def 		UpperCamelCase						(   lowercase_ )		->						float:


  '''simple docstring'''






  if not nums:  # Makes sure that the list is not empty
    raise ValueError("""List is empty""" )

  lowercase__	: int     		=   sum(lowercase_ ) / len(lowercase_ )  # Calculate the average
  return sum(abs(x - average ) for x in nums ) / len(lowercase_ )


if __name__ == "__main__":
     import doctest

     doctest.testmod()






