
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


_UpperCAmelCase					: str      =       logging.get_logger(__name__)

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

_UpperCAmelCase					: Union[str, Any]      =       {
    """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"""
        ),
    },
}

_UpperCAmelCase					: Optional[Any]      =       {
    """squeezebert/squeezebert-uncased""": 512,
    """squeezebert/squeezebert-mnli""": 512,
    """squeezebert/squeezebert-mnli-headless""": 512,
}


_UpperCAmelCase					: Any      =       {
    """squeezebert/squeezebert-uncased""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli-headless""": {"""do_lower_case""": True},
}


class 				lowercase					(		UpperCAmelCase__   ):
		__lowercase       :       int	     =				VOCAB_FILES_NAMES
		__lowercase       :       List[str]	     =				PRETRAINED_VOCAB_FILES_MAP
		__lowercase       :       Tuple	     =				PRETRAINED_INIT_CONFIGURATION
		__lowercase       :       str	     =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowercase       :       List[Any]	     =				SqueezeBertTokenizer



		def __init__( self				,      A_=None				,      A_=None				,      A_=True				,      A_="[UNK]"				,      A_="[SEP]"				,      A_="[PAD]"				,      A_="[CLS]"				,      A_="[MASK]"				,      A_=True				,      A_=None				,      **A_				,      )  ->					Dict:
				"""simple docstring"""
				super().__init__(
				    lowercase_				,      tokenizer_file=lowercase_				,      do_lower_case=lowercase_				,      unk_token=lowercase_				,      sep_token=lowercase_				,      pad_token=lowercase_				,      cls_token=lowercase_				,      mask_token=lowercase_				,      tokenize_chinese_chars=lowercase_				,      strip_accents=lowercase_				,      **lowercase_				,      )

				UpperCamelCase		=     json.loads(self.backend_tokenizer.normalizer.__getstate__()       )
				if (
				    normalizer_state.get('lowercase'				,      lowercase_       ) != do_lower_case
				    or normalizer_state.get('strip_accents'				,      lowercase_       ) != strip_accents
				    or normalizer_state.get('handle_chinese_chars'				,      lowercase_       ) != tokenize_chinese_chars
				):
						UpperCamelCase		=     getattr(lowercase_				,      normalizer_state.pop('type'       )       )
						UpperCamelCase		=     do_lower_case
						UpperCamelCase		=     strip_accents
						UpperCamelCase		=     tokenize_chinese_chars
						UpperCamelCase		=     normalizer_class(**lowercase_       )

				UpperCamelCase		=     do_lower_case



		def __UpperCamelCase ( self				,      A_				,      A_=None       )  ->					List[str]:
				"""simple docstring"""
				UpperCamelCase		=     [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 __UpperCamelCase ( self				,      A_				,      A_ = None       )  ->					List[str]:
				"""simple docstring"""
				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 __UpperCamelCase ( self				,      A_				,      A_ = None       )  ->					Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase		=     self._tokenizer.model.save(lowercase_				,      name=lowercase_       )
				return tuple(lowercase_       )








"""simple docstring"""






from math import factorial



def 					_A			(__a = 20							) ->       int:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_      :  Dict    						=		2 * n  # middle entry of odd rows starting at row 3 is the solution for n = 1,
    # 2, 3,...
    SCREAMING_SNAKE_CASE_      :  List[str]    						=		n // 2

    return int(factorial(__a							) / (factorial(__a							) * factorial(n - k							))							)


if __name__ == "__main__":
  import sys

  if len(sys.argv) == 1:
    print(solution(20))
  else:
    try:
      UpperCAmelCase_   : List[str]   			= int(sys.argv[1])
      print(solution(n))
    except ValueError:
      print("""Invalid entry - please enter a number.""")


