




def       snake_case      (							A    )							->							bool:




	'''simple docstring'''


	if not isinstance(A		,     A    ):
		raise ValueError('Input series is not valid, valid series - [1, 2/3, 2]'    )
	if len(A    ) == 0:
		raise ValueError('Input list must be a non empty list'    )
	if len(A    ) == 1 and series[0] != 0:
		return True
	lowerCamelCase_							:	str							     =							[]
	lowerCamelCase_							:	Any							     =							len(A    )
	for i in range(0		,     A    ):
		if series[i] == 0:
			raise ValueError('Input series cannot have 0 as an element'    )
		rec_series.append(1 / series[i]    )
	lowerCamelCase_							:	Optional[int]							     =							rec_series[1] - rec_series[0]
	for index in range(2		,     A    ):
		if rec_series[index] - rec_series[index - 1] != common_diff:
			return False
	return True






def       snake_case      (							A    )							->							float:




	'''simple docstring'''


	if not isinstance(A		,     A    ):
		raise ValueError('Input series is not valid, valid series - [2, 4, 6]'    )
	if len(A    ) == 0:
		raise ValueError('Input list must be a non empty list'    )
	lowerCamelCase_							:	Optional[int]							     =							0
	for val in series:
		answer += 1 / val
	return len(A    ) / answer


if __name__ == "__main__":
							import doctest

							doctest.testmod()






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


UpperCamelCase__  =		logging.get_logger(__name__)

UpperCamelCase__  =		{
    '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        __SCREAMING_SNAKE_CASE							(	lowerCamelCase						):
					_lowerCamelCase							=				"""deberta"""

					def __init__(       self				, __lowercase=50_265				, __lowercase=768				, __lowercase=12				, __lowercase=12				, __lowercase=3_072				, __lowercase="gelu"				, __lowercase=0.1				, __lowercase=0.1				, __lowercase=512				, __lowercase=0				, __lowercase=0.02				, __lowercase=1E-7				, __lowercase=False				, __lowercase=-1				, __lowercase=0				, __lowercase=True				, __lowercase=None				, __lowercase=0				, __lowercase="gelu"				, **__lowercase				, ):







						'''simple docstring'''




						super().__init__(**__lowercase      )

						lowerCamelCase_							:	Dict							     =							hidden_size
						lowerCamelCase_							:	Tuple							     =							num_hidden_layers
						lowerCamelCase_							:	Dict							     =							num_attention_heads
						lowerCamelCase_							:	Tuple							     =							intermediate_size
						lowerCamelCase_							:	Tuple							     =							hidden_act
						lowerCamelCase_							:	List[Any]							     =							hidden_dropout_prob
						lowerCamelCase_							:	Dict							     =							attention_probs_dropout_prob
						lowerCamelCase_							:	List[Any]							     =							max_position_embeddings
						lowerCamelCase_							:	List[Any]							     =							type_vocab_size
						lowerCamelCase_							:	Union[str, Any]							     =							initializer_range
						lowerCamelCase_							:	int							     =							relative_attention
						lowerCamelCase_							:	Tuple							     =							max_relative_positions
						lowerCamelCase_							:	Optional[Any]							     =							pad_token_id
						lowerCamelCase_							:	int							     =							position_biased_input

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

						lowerCamelCase_							:	Any							     =							pos_att_type
						lowerCamelCase_							:	Any							     =							vocab_size
						lowerCamelCase_							:	List[str]							     =							layer_norm_eps

						lowerCamelCase_							:	str							     =							kwargs.get('pooler_hidden_size'				, __lowercase      )
						lowerCamelCase_							:	List[Any]							     =							pooler_dropout
						lowerCamelCase_							:	str							     =							pooler_hidden_act


class        __SCREAMING_SNAKE_CASE							(	lowerCamelCase						):

					@property
					def 			lowercase_							(       self      ):







						'''simple docstring'''




						if self.task == "multiple-choice":
							lowerCamelCase_							:	Tuple							     =							{0: 'batch', 1: 'choice', 2: 'sequence'}
						else:
							lowerCamelCase_							:	List[str]							     =							{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 			lowercase_							(       self      ):







						'''simple docstring'''




						return 12





					def 			lowercase_							(       self				, __lowercase				, __lowercase = -1				, __lowercase = -1				, __lowercase = -1				, __lowercase = False				, __lowercase = None				, __lowercase = 3				, __lowercase = 40				, __lowercase = 40				, __lowercase = None				, ):







						'''simple docstring'''




						lowerCamelCase_							:	Optional[Any]							     =							super().generate_dummy_inputs(preprocessor=__lowercase				, framework=__lowercase      )
						if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
							del dummy_inputs["token_type_ids"]
						return dummy_inputs
