




from __future__ import annotations

import random
import string





class 		A__				:






	def __init__(	self				,     lowerCamelCase = None						)      ->   None:




						"""simple docstring"""






						__magic_name__					:							Any		   =							passcode or self.__passcode_creator()
						__magic_name__					:							int		   =							self.__make_key_list()
						__magic_name__					:							Union[str, Any]		   =							self.__make_shift_key()






	def __str__(	self						)      ->   str:




						"""simple docstring"""






						return "".join(self.__passcode						)






	def  lowercase      (	self				,     lowerCamelCase						)      ->   list[int]:




						"""simple docstring"""






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






	def  lowercase      (	self						)      ->   list[str]:




						"""simple docstring"""






						__magic_name__					:							Union[str, Any]		   =							string.ascii_letters + string.digits
						__magic_name__					:							str		   =							[random.choice(UpperCAmelCase_						) for _ in range(random.randint(10				,     20						)						)]
						return password






	def  lowercase      (	self						)      ->   list[str]:




						"""simple docstring"""






						__magic_name__					:							str		   =							(
						    string.ascii_letters + string.digits + string.punctuation + ' \t\n'
						)

						__magic_name__					:							Union[str, Any]		   =							[]

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

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

											# 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  lowercase      (	self						)      ->   int:




						"""simple docstring"""






						__magic_name__					:							int		   =							sum(self.__neg_pos([ord(UpperCAmelCase_						) for x in self.__passcode]						)						)
						return num if num > 0 else len(self.__passcode						)






	def  lowercase      (	self				,     lowerCamelCase						)      ->   str:




						"""simple docstring"""






						__magic_name__					:							Any		   =							''

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

						return decoded_message






	def  lowercase      (	self				,     lowerCamelCase						)      ->   str:




						"""simple docstring"""






						__magic_name__					:							int		   =							''

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

						return encoded_message







def  lowerCAmelCase  (	UpperCAmelCase = "Hello, this is a modified Caesar cipher"       )  ->int:






					"""simple docstring"""






					__magic_name__					:							List[str]		   =							ShuffledShiftCipher()
					return cipa.decrypt(cipa.encrypt(a_       )       )


if __name__ == "__main__":
				import doctest

				doctest.testmod()





"""simple docstring"""

from transformers import (
    DPRContextEncoderTokenizer,
    DPRContextEncoderTokenizerFast,
    DPRQuestionEncoderTokenizer,
    DPRQuestionEncoderTokenizerFast,
    DPRReaderOutput,
    DPRReaderTokenizer,
    DPRReaderTokenizerFast,
)
from transformers.testing_utils import require_tokenizers, slow
from transformers.tokenization_utils_base import BatchEncoding

from ..bert.test_tokenization_bert import BertTokenizationTest






@require_tokenizers
class        _lowercase   (				__UpperCAmelCase		):
	lowercase_        =	DPRContextEncoderTokenizer
	lowercase_        =	DPRContextEncoderTokenizerFast
	lowercase_        =	True






@require_tokenizers
class        _lowercase   (				__UpperCAmelCase		):
	lowercase_        =	DPRQuestionEncoderTokenizer
	lowercase_        =	DPRQuestionEncoderTokenizerFast
	lowercase_        =	True






@require_tokenizers
class        _lowercase   (				__UpperCAmelCase		):
	lowercase_        =	DPRReaderTokenizer
	lowercase_        =	DPRReaderTokenizerFast
	lowercase_        =	True




	@slow
	def 			_UpperCamelCase    ( self					)		->							Any:
			lowerCamelCase     :			str		=    self.tokenizer_class.from_pretrained('bert-base-uncased'					)

			lowerCamelCase     :			int		=    tokenizer.encode('question sequence'		, add_special_tokens=UpperCAmelCase_					)
			lowerCamelCase     :			List[Any]		=    tokenizer.encode('title sequence'		, add_special_tokens=UpperCAmelCase_					)
			lowerCamelCase     :			Optional[int]		=    tokenizer.encode('text sequence ' * 4		, add_special_tokens=UpperCAmelCase_					)
			lowerCamelCase     :			Union[str, Any]		=    [[101] + text_a + [102] + text_a + [102] + text_a]
			lowerCamelCase     :			List[str]		=    BatchEncoding({'input_ids': input_ids}					)

			lowerCamelCase     :			Optional[int]		=    [[0] * len(input_ids[0]					)]
			lowerCamelCase     :			str		=    [[0] * len(input_ids[0]					)]
			lowerCamelCase     :			List[Any]		=    [0]
			lowerCamelCase     :			Tuple		=    DPRReaderOutput(UpperCAmelCase_		, UpperCAmelCase_		, UpperCAmelCase_					)

			lowerCamelCase	,    lowerCamelCase     :			Optional[int]		=    8, 9
			lowerCamelCase     :			Optional[int]		=    10
			lowerCamelCase     :			int		=    10
			lowerCamelCase     :			List[Any]		=    tokenizer.decode_best_spans(UpperCAmelCase_		, UpperCAmelCase_					)
			self.assertEqual(predicted_spans[0].start_index		, UpperCAmelCase_					)
			self.assertEqual(predicted_spans[0].end_index		, UpperCAmelCase_					)
			self.assertEqual(predicted_spans[0].doc_id		, 0					)




	@slow
	def 			_UpperCamelCase    ( self					)		->							List[Any]:
			lowerCamelCase     :			Union[str, Any]		=    self.tokenizer_class.from_pretrained('bert-base-uncased'					)

			lowerCamelCase     :			List[str]		=    tokenizer.encode('question sequence'		, add_special_tokens=UpperCAmelCase_					)
			lowerCamelCase     :			List[str]		=    tokenizer.encode('title sequence'		, add_special_tokens=UpperCAmelCase_					)
			lowerCamelCase     :			List[Any]		=    tokenizer.encode('text sequence'		, add_special_tokens=UpperCAmelCase_					)
			lowerCamelCase     :			List[Any]		=    [101] + text_a + [102] + text_a + [102] + text_a
			lowerCamelCase     :			Optional[Any]		=    tokenizer(questions=['question sequence']		, titles=['title sequence']		, texts=['text sequence']					)
			self.assertIn('input_ids'		, UpperCAmelCase_					)
			self.assertIn('attention_mask'		, UpperCAmelCase_					)
			self.assertListEqual(encoded_input['input_ids'][0]		, UpperCAmelCase_					)






