



"""simple docstring"""







from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_clip import CLIPTokenizer


UpperCAmelCase:  int			     =				logging.get_logger(__name__)

UpperCAmelCase:  Optional[Any]			     =				{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase:  List[str]			     =				{
    """vocab_file""": {
        """openai/clip-vit-base-patch32""": """https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """openai/clip-vit-base-patch32""": """https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """openai/clip-vit-base-patch32""": (
            """https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/tokenizer.json"""
        ),
    },
}

UpperCAmelCase:  List[Any]			     =				{
    """openai/clip-vit-base-patch32""": 77,
}





class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""
	SCREAMING_SNAKE_CASE_							:       int						       =  VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE_							:       Optional[int]						       =  PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE_							:       Union[str, Any]						       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE_							:       int						       =  ["input_ids", "attention_mask"]
	SCREAMING_SNAKE_CASE_							:       Dict						       =  CLIPTokenizer






	def __init__(     self				,UpperCAmelCase_=None				,UpperCAmelCase_=None				,UpperCAmelCase_=None				,UpperCAmelCase_="<|endoftext|>"				,UpperCAmelCase_="<|startoftext|>"				,UpperCAmelCase_="<|endoftext|>"				,UpperCAmelCase_="<|endoftext|>"				,**UpperCAmelCase_				,):
			super().__init__(
			    UpperCAmelCase_				,UpperCAmelCase_				,tokenizer_file=UpperCAmelCase_				,unk_token=UpperCAmelCase_				,bos_token=UpperCAmelCase_				,eos_token=UpperCAmelCase_				,pad_token=UpperCAmelCase_				,**UpperCAmelCase_				,)

			if not isinstance(self.backend_tokenizer.pre_tokenizer				,pre_tokenizers.Sequence   ):
					raise ValueError(
					    """The `backend_tokenizer` provided does not match the expected format. The CLIP tokenizer has been"""
					    """ heavily modified from transformers version 4.17.0. You need to convert the tokenizer you are using"""
					    """ to be compatible with this version.The easiest way to do so is"""
					    """ `CLIPTokenizerFast.from_pretrained(\"path_to_local_folder_or_hub_repo, from_slow=True)`. If you want"""
					    """ to use your existing tokenizer, you will have to revert to a version prior to 4.17.0 of"""
					    """ transformers."""   )

			self._wrap_decode_method_backend_tokenizer()






	def    lowerCamelCase__					(     self   ):
			_lowercase				: Dict     =   self.backend_tokenizer.decode

			def new_decode_method(*UpperCAmelCase_				,**UpperCAmelCase_   ):
					_lowercase				: Union[str, Any]     =   orig_decode_method(*UpperCAmelCase_				,**UpperCAmelCase_   )
					_lowercase				: List[Any]     =   text.replace(self.backend_tokenizer.model.end_of_word_suffix				,""" """   ).strip()
					return text

			_lowercase				: int     =   new_decode_method






	def    lowerCamelCase__					(     self				,UpperCAmelCase_				,UpperCAmelCase_ = None   ):
			_lowercase				: List[str]     =   [self.bos_token_id]
			_lowercase				: str     =   [self.eos_token_id]

			if token_ids_a is None:
					return bos_token + token_ids_a + eos_token
			return bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token






	def    lowerCamelCase__					(     self				,UpperCAmelCase_				,UpperCAmelCase_ = None   ):
			_lowercase				: Union[str, Any]     =   [self.bos_token_id]
			_lowercase				: Tuple     =   [self.eos_token_id]

			if token_ids_a is None:
					return len(bos_token + token_ids_a + eos_token   ) * [0]
			return len(bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token   ) * [0]






	def    lowerCamelCase__					(     self				,UpperCAmelCase_				,UpperCAmelCase_ = None   ):
			_lowercase				: Union[str, Any]     =   self._tokenizer.model.save(UpperCAmelCase_				,name=UpperCAmelCase_   )
			return tuple(UpperCAmelCase_   )








"""simple docstring"""







from math import factorial


def  __SCREAMING_SNAKE_CASE (  __UpperCAmelCase   ,				__UpperCAmelCase      ):
		return factorial(__UpperCAmelCase      ) / (factorial(__UpperCAmelCase      ) * factorial(n - r      ))


def  __SCREAMING_SNAKE_CASE (  ):
		_lowercase				: Optional[Any]     =   0

		for i in range(1   ,				101      ):
				for j in range(1   ,				i + 1      ):
						if combinations(__UpperCAmelCase   ,				__UpperCAmelCase      ) > 1E6:
								total += 1
		return total


if __name__ == "__main__":
		print(solution())



