




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


SCREAMING_SNAKE_CASE:    List[str]											=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE:    int											=   {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE:    Union[str, Any]											=   {
    '''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'''
        ),
    },
}

SCREAMING_SNAKE_CASE:    Dict											=   {
    '''openai/clip-vit-base-patch32''': 7_7,
}



class       lowercase_		(SCREAMING_SNAKE_CASE__   ):
						lowerCAmelCase__ 			=VOCAB_FILES_NAMES
						lowerCAmelCase__ 			=PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase__ 			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowerCAmelCase__ 			=["input_ids", "attention_mask"]
						lowerCAmelCase__ 			=CLIPTokenizer



						def __init__( self  :      Optional[int]				,       snake_case__  :      str=None				,       snake_case__  :      Any=None				,       snake_case__  :      Optional[Any]=None				,       snake_case__  :      Dict="<|endoftext|>"				,       snake_case__  :      Tuple="<|startoftext|>"				,       snake_case__  :      Optional[int]="<|endoftext|>"				,       snake_case__  :      Dict="<|endoftext|>"				,       **snake_case__  :      Optional[int]				,       ):

								"""simple docstring"""

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

								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   __a				( self  :      Any     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.backend_tokenizer.decode

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

								SCREAMING_SNAKE_CASE_							=       new_decode_method



						def   __a				( self  :      Tuple				,       snake_case__  :      List[int]				,       snake_case__  :      Optional[List[int]] = None     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       [self.bos_token_id]
								SCREAMING_SNAKE_CASE_							=       [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   __a				( self  :      Optional[int]				,       snake_case__  :      List[int]				,       snake_case__  :      Optional[List[int]] = None     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       [self.bos_token_id]
								SCREAMING_SNAKE_CASE_							=       [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   __a				( self  :      Optional[int]				,       snake_case__  :      str				,       snake_case__  :      Optional[str] = None     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self._tokenizer.model.save(snake_case__				,       name=snake_case__     )
								return tuple(snake_case__     )





from __future__ import annotations

import random
import string



class       lowercase_		:



						def __init__( self  :      str				,       snake_case__  :      str | None = None     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       passcode or self.__passcode_creator()
								SCREAMING_SNAKE_CASE_							=       self.__make_key_list()
								SCREAMING_SNAKE_CASE_							=       self.__make_shift_key()



						def __str__( self  :      List[Any]     ):

								"""simple docstring"""

								return "".join(self.__passcode     )



						def   __a				( self  :      Union[str, Any]				,       snake_case__  :      list[int]     ):

								"""simple docstring"""

								for i in range(1				,       len(snake_case__     )				,       2     ):
										iterlist[i] *= -1
								return iterlist



						def   __a				( self  :      str     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       string.ascii_letters + string.digits
								SCREAMING_SNAKE_CASE_							=       [random.choice(snake_case__     ) for _ in range(random.randint(10				,       20     )     )]
								return password



						def   __a				( self  :      str     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       (
								    string.ascii_letters + string.digits + string.punctuation + ' \t\n'
								)

								SCREAMING_SNAKE_CASE_							=       []

								# creates points known as breakpoints to break the key_list_options at those
								# points and pivot each substring
								SCREAMING_SNAKE_CASE_							=       sorted(set(self.__passcode     )     )
								SCREAMING_SNAKE_CASE_							=       []

								# algorithm for creating a new shuffled list, keys_l, out of key_list_options
								for i in key_list_options:
										temp_list.extend(snake_case__     )

										# checking breakpoints at which to pivot temporary sublist and add it into
										# keys_l
										if i in breakpoints or i == key_list_options[-1]:
												keys_l.extend(temp_list[::-1]     )
												temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
								return keys_l



						def   __a				( self  :      Union[str, Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       sum(self.__neg_pos([ord(snake_case__     ) for x in self.__passcode]     )     )
								return num if num > 0 else len(self.__passcode     )



						def   __a				( self  :      str				,       snake_case__  :      str     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       ''

								# decoding shift like Caesar cipher algorithm implementing negative shift or
								# reverse shift or left shift
								for i in encoded_message:
										SCREAMING_SNAKE_CASE_							=       self.__key_list.index(snake_case__     )
										decoded_message += self.__key_list[
										    (position - self.__shift_key) % -len(self.__key_list     )
										]

								return decoded_message






						def   __a				( self  :      Optional[int]				,       snake_case__  :      str     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       ''

								# encoding shift like Caesar cipher algorithm implementing positive shift or
								# forward shift or right shift
								for i in plaintext:
										SCREAMING_SNAKE_CASE_							=       self.__key_list.index(snake_case__     )
										encoded_message += self.__key_list[
										    (position + self.__shift_key) % len(self.__key_list     )
										]

								return encoded_message


def 				_a       (				lowerCAmelCase = "Hello, this is a modified Caesar cipher"   )->  str:
		SCREAMING_SNAKE_CASE_							=       ShuffledShiftCipher()
		return cipa.decrypt(cipa.encrypt(lowerCAmelCase   )   )


if __name__ == "__main__":
						import doctest

						doctest.testmod()