





'''simple docstring'''






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


lowerCAmelCase									=   logging.get_logger(__name__)

lowerCAmelCase									=   {
    """microsoft/deberta-v2-xlarge""": """https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json""",
    """microsoft/deberta-v2-xxlarge""": """https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json""",
    """microsoft/deberta-v2-xlarge-mnli""": (
        """https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json"""
    ),
    """microsoft/deberta-v2-xxlarge-mnli""": (
        """https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json"""
    ),
}
class 		lowerCamelCase	(   __UpperCAmelCase							):
	snake_case_   = 'deberta-v2'



	def __init__( self		,   a_=128_100		,   a_=1_536		,   a_=24		,   a_=24		,   a_=6_144		,   a_="gelu"		,   a_=0.1		,   a_=0.1		,   a_=512		,   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__(**lowerCAmelCase_						)

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

			# Backwards compatibility
			if type(lowerCAmelCase_						) == str:
					lowerCAmelCase  :     str       						= [x.strip() for x in pos_att_type.lower().split("|"						)]

			lowerCAmelCase  :     str       						= pos_att_type
			lowerCAmelCase  :     Optional[Any]       						= vocab_size
			lowerCAmelCase  :     Dict       						= layer_norm_eps

			lowerCAmelCase  :     Union[str, Any]       						= kwargs.get("pooler_hidden_size"		,   lowerCAmelCase_						)
			lowerCAmelCase  :     List[str]       						= pooler_dropout
			lowerCAmelCase  :     Optional[int]       						= pooler_hidden_act






class 		lowerCamelCase	(   __UpperCAmelCase							):



	@property
	def 	_lowerCamelCase     ( self						):
			if self.task == "multiple-choice":
					lowerCAmelCase  :     Optional[int]       						= {0: 'batch', 1: 'choice', 2: 'sequence'}
			else:
					lowerCAmelCase  :     Any       						= {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 	_lowerCamelCase     ( self						):
			return 12





	def 	_lowerCamelCase     ( self		,   a_		,   a_ = -1		,   a_ = -1		,   a_ = -1		,   a_ = False		,   a_ = None		,   a_ = 3		,   a_ = 40		,   a_ = 40		,   a_ = None		,   ):
			lowerCAmelCase  :     str       						= super().generate_dummy_inputs(preprocessor=lowerCAmelCase_		,   framework=lowerCAmelCase_						)
			if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
					del dummy_inputs["token_type_ids"]
			return dummy_inputs











"""simple docstring"""
import operator as op





def 				lowercase__		(					lowerCamelCase       ):
				_SCREAMING_SNAKE_CASE   :		int       		=    []
				_SCREAMING_SNAKE_CASE   :		Dict       		=    lambda lowerCamelCase,						lowerCamelCase       : int(x / y       )  # noqa: E731 integer division operation
				_SCREAMING_SNAKE_CASE   :		Tuple       		=    {
				    '^': op.pow,
				    '*': op.mul,
				    '/': div,
				    '+': op.add,
				    '-': op.sub,
				}  # operators & their respective operation

				# print table header
				print('Symbol'.center(8       ),						'Action'.center(12       ),						'Stack',						sep=' | '       )
				print('-' * (30 + len(lowerCamelCase       ))       )

				for x in post_fix:
								if x.isdigit():  # if x in digit
												stack.append(lowerCamelCase       )  # append x to stack
												# output in tabular format
												print(x.rjust(8       ),						('push(' + x + ')').ljust(12       ),						','.join(lowerCamelCase       ),						sep=' | '       )
								else:
												_SCREAMING_SNAKE_CASE   :		int       		=    stack.pop()  # pop stack
												# output in tabular format
												print(''.rjust(8       ),						('pop(' + b + ')').ljust(12       ),						','.join(lowerCamelCase       ),						sep=' | '       )

												_SCREAMING_SNAKE_CASE   :		Tuple       		=    stack.pop()  # pop stack
												# output in tabular format
												print(''.rjust(8       ),						('pop(' + a + ')').ljust(12       ),						','.join(lowerCamelCase       ),						sep=' | '       )

												stack.append(
												    str(opr[x](int(lowerCamelCase       ),						int(lowerCamelCase       )       )       )       )  # evaluate the 2 values popped from stack & push result to stack
												# output in tabular format
												print(
												    x.rjust(8       ),						('push(' + a + x + b + ')').ljust(12       ),						','.join(lowerCamelCase       ),						sep=' | ',						)

				return int(stack[0]       )


if __name__ == "__main__":
			lowerCAmelCase__    						=			input('\n\nEnter a Postfix Equation (space separated) = ').split(' ')
			print('\n\tResult = ', solve(Postfix))

