





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:  Tuple   =   logging.get_logger(__name__)

__UpperCamelCase:  Tuple   =   {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

__UpperCamelCase:  Tuple   =   {
    """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:  Union[str, Any]   =   {
    """openai/clip-vit-base-patch32""": 7_7,
}


class 			__lowerCAmelCase				(					_UpperCamelCase			):


	'''simple docstring'''





	_A       	=							VOCAB_FILES_NAMES
	_A       	=							PRETRAINED_VOCAB_FILES_MAP
	_A       	=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_A       	=							["input_ids", "attention_mask"]
	_A       	=							CLIPTokenizer

	def __init__(	self:	Any,				lowerCamelCase_:	Optional[int]=None,				lowerCamelCase_:	str=None,				lowerCamelCase_:	Optional[Any]=None,				lowerCamelCase_:	Union[str, Any]="<|endoftext|>",				lowerCamelCase_:	int="<|startoftext|>",				lowerCamelCase_:	Optional[int]="<|endoftext|>",				lowerCamelCase_:	Optional[Any]="<|endoftext|>",				**lowerCamelCase_:	Optional[int],				):
			super().__init__(
			    lowerCamelCase_,				lowerCamelCase_,				tokenizer_file=lowerCamelCase_,				unk_token=lowerCamelCase_,				bos_token=lowerCamelCase_,				eos_token=lowerCamelCase_,				pad_token=lowerCamelCase_,				**lowerCamelCase_,				)

			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       snake_case__(	self:	Dict ):
			lowercase__				:			Optional[Any]            =		self.backend_tokenizer.decode

			def new_decode_method(*lowerCamelCase_:	Any,				**lowerCamelCase_:	Optional[Any] ):
					lowercase__				:			int            =		orig_decode_method(*lowerCamelCase_,				**lowerCamelCase_ )
					lowercase__				:			List[str]            =		text.replace(self.backend_tokenizer.model.end_of_word_suffix,				' ' ).strip()
					return text

			lowercase__				:			Dict            =		new_decode_method

	def       snake_case__(	self:	Union[str, Any],				lowerCamelCase_:	List[int],				lowerCamelCase_:	Optional[List[int]] = None ):
			lowercase__				:			Optional[int]            =		[self.bos_token_id]
			lowercase__				:			int            =		[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       snake_case__(	self:	Optional[int],				lowerCamelCase_:	List[int],				lowerCamelCase_:	Optional[List[int]] = None ):
			lowercase__				:			Optional[int]            =		[self.bos_token_id]
			lowercase__				:			Optional[int]            =		[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       snake_case__(	self:	Optional[int],				lowerCamelCase_:	str,				lowerCamelCase_:	Optional[str] = None ):
			lowercase__				:			Union[str, Any]            =		self._tokenizer.model.save(lowerCamelCase_,				name=lowerCamelCase_ )
			return tuple(lowerCamelCase_ )









def 			SCREAMING_SNAKE_CASE__     (					_lowercase    :   int )      ->       bool:




		'''simple docstring'''
		lowercase__				:			Optional[int]            =		9

		while num > 0:
				if num % 10 != digit:
						return False
				num //= 100
				digit -= 1

		return True


def 			SCREAMING_SNAKE_CASE__     (					)      ->       int:




		'''simple docstring'''
		lowercase__				:			List[str]            =		138_902_663

		while not is_square_form(num * num ):
				if num % 10 == 3:
						num -= 6  # (3 - 6) % 10 = 7
				else:
						num -= 4  # (7 - 4) % 10 = 3

		return num * 10


if __name__ == "__main__":
			print(F'{solution() = }')


