




"""simple docstring"""

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase	:      int   =							logging.get_logger(__name__)

_lowerCamelCase	:      int   =							{
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}

class 							lowercase   (     _SCREAMING_SNAKE_CASE):
				__lowerCAmelCase     :     List[Any]								= """nystromformer"""







				def __init__(				self :       int   ,  _lowerCamelCase :       Any=3_00_00   ,  _lowerCamelCase :       Optional[Any]=7_68   ,  _lowerCamelCase :       int=12   ,  _lowerCamelCase :       str=12   ,  _lowerCamelCase :       Any=30_72   ,  _lowerCamelCase :       Any="gelu_new"   ,  _lowerCamelCase :       Optional[int]=0.1   ,  _lowerCamelCase :       Dict=0.1   ,  _lowerCamelCase :       Union[str, Any]=5_10   ,  _lowerCamelCase :       int=2   ,  _lowerCamelCase :       Tuple=64   ,  _lowerCamelCase :       Optional[Any]=64   ,  _lowerCamelCase :       Dict=65   ,  _lowerCamelCase :       str=False   ,  _lowerCamelCase :       Union[str, Any]=0.02   ,  _lowerCamelCase :       Tuple=1E-5   ,  _lowerCamelCase :       List[str]=1   ,  _lowerCamelCase :       Tuple=0   ,  _lowerCamelCase :       Dict=2   ,  **_lowerCamelCase :       Optional[int]   ,  ):



					"""simple docstring"""

					A_	:					int						 =		vocab_size
					A_	:					str						 =		max_position_embeddings
					A_	:					Optional[int]						 =		hidden_size
					A_	:					str						 =		num_hidden_layers
					A_	:					Optional[int]						 =		num_attention_heads
					A_	:					Any						 =		intermediate_size
					A_	:					str						 =		hidden_act
					A_	:					Union[str, Any]						 =		hidden_dropout_prob
					A_	:					List[Any]						 =		attention_probs_dropout_prob
					A_	:					Dict						 =		initializer_range
					A_	:					str						 =		type_vocab_size
					A_	:					List[str]						 =		segment_means_seq_len
					A_	:					Dict						 =		num_landmarks
					A_	:					Any						 =		conv_kernel_size
					A_	:					Optional[int]						 =		inv_coeff_init_option
					A_	:					Any						 =		layer_norm_eps
					super().__init__(pad_token_id=__A   ,  bos_token_id=__A   ,  eos_token_id=__A   ,  **__A							)









"""simple docstring"""







from __future__ import annotations

import random
import string






class  __A							:






 """simple docstring"""




 def __init__(						self					,       __A = None		)   ->	None:
     a											=passcode or self.__passcode_creator()
     a											=self.__make_key_list()
     a											=self.__make_shift_key()


 def __str__(						self		)   ->	str:
     return "".join(self.__passcode		)


 def  SCREAMING_SNAKE_CASE				(						self					,       __A		)   ->	list[int]:
     for i in range(1					,       len(__A		)					,       2		):
         iterlist[i] *= -1
     return iterlist


 def  SCREAMING_SNAKE_CASE				(						self		)   ->	list[str]:
     a											=string.ascii_letters + string.digits
     a											=[random.choice(__A		) for _ in range(random.randint(10					,       20		)		)]
     return password


 def  SCREAMING_SNAKE_CASE				(						self		)   ->	list[str]:
     a											=(
         string.ascii_letters + string.digits + string.punctuation + ''' \t\n'''
     )

     a											=[]

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

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

         # 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  SCREAMING_SNAKE_CASE				(						self		)   ->	int:
     a											=sum(self.__neg_pos([ord(__A		) for x in self.__passcode]		)		)
     return num if num > 0 else len(self.__passcode		)


 def  SCREAMING_SNAKE_CASE				(						self					,       __A		)   ->	str:
     a											=''''''

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

     return decoded_message





 def  SCREAMING_SNAKE_CASE				(						self					,       __A		)   ->	str:
     a											=''''''

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

     return encoded_message

def _A		(		lowercase = "Hello, this is a modified Caesar cipher"						):







    """simple docstring"""
    a											=ShuffledShiftCipher()
    return cipa.decrypt(cipa.encrypt(lowercase						)						)


if __name__ == "__main__":
       import doctest

       doctest.testmod()