





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


__lowerCAmelCase 	=      logging.get_logger(__name__)

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

__lowerCAmelCase 	=      {
    "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"
        ),
    },
}

__lowerCAmelCase 	=      {
    "openai/clip-vit-base-patch32": 77,
}




class 	_UpperCAmelCase						( _lowercase       ):
					__A        = VOCAB_FILES_NAMES
					__A        = PRETRAINED_VOCAB_FILES_MAP
					__A        = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__A        = ["input_ids", "attention_mask"]
					__A        = CLIPTokenizer




					def __init__(    self     ,   __lowerCAmelCase=None     ,   __lowerCAmelCase=None     ,   __lowerCAmelCase=None     ,   __lowerCAmelCase="<|endoftext|>"     ,   __lowerCAmelCase="<|startoftext|>"     ,   __lowerCAmelCase="<|endoftext|>"     ,   __lowerCAmelCase="<|endoftext|>"     ,   **__lowerCAmelCase     ,   )    ->	List[str]:
							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							)    ->	List[Any]:
							UpperCamelCase__								=						self.backend_tokenizer.decode

							def new_decode_method(*__lowerCAmelCase     ,   **__lowerCAmelCase							):
									UpperCamelCase__								=						orig_decode_method(*__lowerCAmelCase     ,   **__lowerCAmelCase							)
									UpperCamelCase__								=						text.replace(self.backend_tokenizer.model.end_of_word_suffix     ,   """ """							).strip()
									return text

							UpperCamelCase__								=						new_decode_method




					def 						snake_case_		(    self     ,   __lowerCAmelCase     ,   __lowerCAmelCase = None							)    ->	List[int]:
							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 						snake_case_		(    self     ,   __lowerCAmelCase     ,   __lowerCAmelCase = None							)    ->	List[int]:
							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 						snake_case_		(    self     ,   __lowerCAmelCase     ,   __lowerCAmelCase = None							)    ->	Tuple[str]:
							UpperCamelCase__								=						self._tokenizer.model.save(__lowerCAmelCase     ,   name=__lowerCAmelCase							)
							return tuple(__lowerCAmelCase							)












def      a    (   _lowercase :  Dict			,    _lowercase :  List[str]							)  ->List[Any]:
		if len(str(_lowercase							)							) == 1 or len(str(_lowercase							)							) == 1:
				return a * b

		UpperCamelCase__								=						max(len(str(_lowercase							)							)			,    len(str(_lowercase							)							)							)
		UpperCamelCase__								=						ma // 2

		UpperCamelCase__	,      UpperCamelCase__								=						divmod(_lowercase			,    1_0**ma							)
		UpperCamelCase__	,      UpperCamelCase__								=						divmod(_lowercase			,    1_0**ma							)

		UpperCamelCase__								=						karatsuba(_lowercase			,    _lowercase							)
		UpperCamelCase__								=						karatsuba((aa + aa)			,    (ba + ba)							)
		UpperCamelCase__								=						karatsuba(_lowercase			,    _lowercase							)

		return (z * 1_0 ** (2 * ma)) + ((y - z - x) * 1_0 ** (ma)) + (x)

def      a    (   )  ->List[Any]:
		print(karatsuba(1_5_4_6_3			,    2_3_4_8_9							)							)


if __name__ == "__main__":
				main()





