





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


__A    :   Any          =       logging.get_logger(__name__)

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

__A    :   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"
        ),
    },
}

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

class      A_	(a_      ):
	UpperCAmelCase__ =      VOCAB_FILES_NAMES
	UpperCAmelCase__ =      PRETRAINED_VOCAB_FILES_MAP
	UpperCAmelCase__ =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	UpperCAmelCase__ =      ['''input_ids''', '''attention_mask''']
	UpperCAmelCase__ =      CLIPTokenizer
	def __init__(   self							, _A=None							, _A=None							, _A=None							, _A="<|endoftext|>"							, _A="<|startoftext|>"							, _A="<|endoftext|>"							, _A="<|endoftext|>"							, **_A							, ):






				'''simple docstring'''







				super().__init__(
				    _A							, _A							, tokenizer_file=_A							, unk_token=_A							, bos_token=_A							, eos_token=_A							, pad_token=_A							, **_A							, )

				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 					_lowercase    (   self		):






				'''simple docstring'''







				UpperCAmelCase       		=    self.backend_tokenizer.decode

				def new_decode_method(*_A							, **_A		):
							UpperCAmelCase       		=    orig_decode_method(*_A							, **_A		)
							UpperCAmelCase       		=    text.replace(self.backend_tokenizer.model.end_of_word_suffix							, ''' '''		).strip()
							return text

				UpperCAmelCase       		=    new_decode_method
	def 					_lowercase    (   self							, _A							, _A = None		):






				'''simple docstring'''







				UpperCAmelCase       		=    [self.bos_token_id]
				UpperCAmelCase       		=    [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 					_lowercase    (   self							, _A							, _A = None		):






				'''simple docstring'''







				UpperCAmelCase       		=    [self.bos_token_id]
				UpperCAmelCase       		=    [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 					_lowercase    (   self							, _A							, _A = None		):






				'''simple docstring'''







				UpperCAmelCase       		=    self._tokenizer.model.save(_A							, name=_A		)
				return tuple(_A		)










import math





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__			)  ->    bool:







			'''simple docstring'''

			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(UpperCamelCase__			) + 1			)      ,      6			):
						if number % i == 0 or number % (i + 2) == 0:
									return False
			return True





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__ = 6008_5147_5143			)  ->    int:







			'''simple docstring'''

			try:
						UpperCAmelCase       		=    int(UpperCamelCase__			)
			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.'''			)
			UpperCAmelCase       		=    0
			if is_prime(UpperCamelCase__			):
						return n
			while n % 2 == 0:
						n //= 2
			if is_prime(UpperCamelCase__			):
						return n
			for i in range(3      ,      int(math.sqrt(UpperCamelCase__			)			) + 1      ,      2			):
						if n % i == 0:
									if is_prime(n // i			):
												UpperCAmelCase       		=    n // i
												break
									elif is_prime(UpperCamelCase__			):
												UpperCAmelCase       		=    i
			return max_number


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



