
from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


if TYPE_CHECKING:
							from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


lowercase__						:List[Any]					    =       logging.get_logger(__name__)

lowercase__						:Optional[int]					    =       {
    "microsoft/deberta-base": "https://huggingface.co/microsoft/deberta-base/resolve/main/config.json",
    "microsoft/deberta-large": "https://huggingface.co/microsoft/deberta-large/resolve/main/config.json",
    "microsoft/deberta-xlarge": "https://huggingface.co/microsoft/deberta-xlarge/resolve/main/config.json",
    "microsoft/deberta-base-mnli": "https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/config.json",
    "microsoft/deberta-large-mnli": "https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/config.json",
    "microsoft/deberta-xlarge-mnli": "https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/config.json",
}







class 							lowercase						(   SCREAMING_SNAKE_CASE__						):
							lowercase_			:			Tuple			   ='''deberta'''




							def __init__(							self  ,A__=5_0_2_6_5  ,A__=7_6_8  ,A__=1_2  ,A__=1_2  ,A__=3_0_7_2  ,A__="gelu"  ,A__=0.1  ,A__=0.1  ,A__=5_1_2  ,A__=0  ,A__=0.02  ,A__=1E-7  ,A__=False  ,A__=-1  ,A__=0  ,A__=True  ,A__=None  ,A__=0  ,A__="gelu"  ,**A__  ,):
												super().__init__(**A__)

												lowercase		      =		hidden_size
												lowercase		      =		num_hidden_layers
												lowercase		      =		num_attention_heads
												lowercase		      =		intermediate_size
												lowercase		      =		hidden_act
												lowercase		      =		hidden_dropout_prob
												lowercase		      =		attention_probs_dropout_prob
												lowercase		      =		max_position_embeddings
												lowercase		      =		type_vocab_size
												lowercase		      =		initializer_range
												lowercase		      =		relative_attention
												lowercase		      =		max_relative_positions
												lowercase		      =		pad_token_id
												lowercase		      =		position_biased_input

												# Backwards compatibility
												if type(A__) == str:
																	lowercase		      =		[x.strip() for x in pos_att_type.lower().split('''|''')]

												lowercase		      =		pos_att_type
												lowercase		      =		vocab_size
												lowercase		      =		layer_norm_eps

												lowercase		      =		kwargs.get('''pooler_hidden_size'''  ,A__)
												lowercase		      =		pooler_dropout
												lowercase		      =		pooler_hidden_act







class 							lowercase						(   SCREAMING_SNAKE_CASE__						):




							@property
							def 					A__ (							self):
												if self.task == "multiple-choice":
																	lowercase		      =		{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
												else:
																	lowercase		      =		{0: '''batch''', 1: '''sequence'''}
												if self._config.type_vocab_size > 0:
																	return OrderedDict(
																	    [('''input_ids''', dynamic_axis), ('''attention_mask''', dynamic_axis), ('''token_type_ids''', dynamic_axis)])
												else:
																	return OrderedDict([('''input_ids''', dynamic_axis), ('''attention_mask''', dynamic_axis)])




							@property
							def 					A__ (							self):
												return 1_2





							def 					A__ (							self  ,A__  ,A__ = -1  ,A__ = -1  ,A__ = -1  ,A__ = False  ,A__ = None  ,A__ = 3  ,A__ = 4_0  ,A__ = 4_0  ,A__ = None  ,):
												lowercase		      =		super().generate_dummy_inputs(preprocessor=A__  ,framework=A__)
												if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
																	del dummy_inputs["token_type_ids"]
												return dummy_inputs






from __future__ import annotations

import random
import string







class 							lowercase						:




							def __init__(							self  ,A__ = None):
												lowercase		      =		passcode or self.__passcode_creator()
												lowercase		      =		self.__make_key_list()
												lowercase		      =		self.__make_shift_key()




							def __str__(							self):
												return "".join(self.__passcode)




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




							def 					A__ (							self):
												lowercase		      =		string.ascii_letters + string.digits
												lowercase		      =		[random.choice(A__) for _ in range(random.randint(1_0  ,2_0))]
												return password




							def 					A__ (							self):
												lowercase		      =		(
												    string.ascii_letters + string.digits + string.punctuation + ''' \t\n'''
												)

												lowercase		      =		[]

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

												# 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 					A__ (							self):
												lowercase		      =		sum(self.__neg_pos([ord(A__) for x in self.__passcode]))
												return num if num > 0 else len(self.__passcode)




							def 					A__ (							self  ,A__):
												lowercase		      =		''''''

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

												return decoded_message





							def 					A__ (							self  ,A__):
												lowercase		      =		''''''

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

												return encoded_message



def 			UpperCamelCase       (				lowerCAmelCase__ = "Hello, this is a modified Caesar cipher"						):
					'''simple docstring'''
					lowercase		      =		ShuffledShiftCipher()
					return cipa.decrypt(cipa.encrypt(lowerCAmelCase__						)						)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




