



"""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:   Dict       			=							logging.get_logger(__name__)

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





class    UpperCamelCase     (			snake_case    ):




	"""simple docstring"""
	SCREAMING_SNAKE_CASE_				:    List[str]		    =   VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE_				:    Tuple		    =   PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE_				:    Optional[Any]		    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE_				:    List[str]		    =   ["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							:      str			=					self.backend_tokenizer.decode

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

			_lowercase							:      List[str]			=					new_decode_method






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











import math

def    lowerCAmelCase__		(			_a				:	int			):

		if 1 < number < 4:
				# 2 and 3 are primes
				return True
		elif number < 2 or number % 2 == 0 or number % 3 == 0:
				# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
				return False

		# All primes number are in format of 6k +/- 1
		for i in range(5     ,					int(math.sqrt(_a			) + 1			)     ,					6			):
				if number % i == 0 or number % (i + 2) == 0:
						return False
		return True

def    lowerCAmelCase__		(			_a				:	int = 60_08_51_47_51_43			):

		try:
				snake_case_ :							int         =				int(_a			)
		except (TypeError, ValueError):
				raise TypeError("Parameter n must be int or castable to int."			)
		if n <= 0:
				raise ValueError("Parameter n must be greater than or equal to one."			)
		snake_case_ :							Dict         =				0
		if is_prime(_a			):
				return n
		while n % 2 == 0:
				n //= 2
		if is_prime(_a			):
				return n
		for i in range(3     ,					int(math.sqrt(_a			)			) + 1     ,					2			):
				if n % i == 0:
						if is_prime(n // i			):
								snake_case_ :							List[Any]         =				n // i
								break
						elif is_prime(_a			):
								snake_case_ :							str         =				i
		return max_number


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