



'''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


lowercase							       =			logging.get_logger(__name__)

lowercase							       =			{
    '''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 	UpperCAmelCase	(		__a):


	'''simple docstring'''




	__magic_name__					: Any  =      "deberta-v2"




	def __init__(   self							,  lowerCAmelCase_=1_2_8_1_0_0							,  lowerCAmelCase_=1_5_3_6							,  lowerCAmelCase_=2_4							,  lowerCAmelCase_=2_4							,  lowerCAmelCase_=6_1_4_4							,  lowerCAmelCase_="gelu"							,  lowerCAmelCase_=0.1							,  lowerCAmelCase_=0.1							,  lowerCAmelCase_=5_1_2							,  lowerCAmelCase_=0							,  lowerCAmelCase_=0.0_2							,  lowerCAmelCase_=1e-7							,  lowerCAmelCase_=False							,  lowerCAmelCase_=-1							,  lowerCAmelCase_=0							,  lowerCAmelCase_=True							,  lowerCAmelCase_=None							,  lowerCAmelCase_=0							,  lowerCAmelCase_="gelu"							,  **lowerCAmelCase_							,  ) ->      int:



						"""simple docstring"""







						super().__init__(**lowerCAmelCase_)

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

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

						a_       		=pos_att_type
						a_       		=vocab_size
						a_       		=layer_norm_eps

						a_       		=kwargs.get("pooler_hidden_size"							,  lowerCAmelCase_)
						a_       		=pooler_dropout
						a_       		=pooler_hidden_act







class 	UpperCAmelCase	(		__a):


	'''simple docstring'''




	@property
	def       lowercase_  (   self) ->      Mapping[str, Mapping[int, str]]:



						"""simple docstring"""







						if self.task == "multiple-choice":
											a_       		={0: "batch", 1: "choice", 2: "sequence"}
						else:
											a_       		={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) ->      int:



						"""simple docstring"""







						return 1_2




	def       lowercase_  (   self							,  lowerCAmelCase_							,  lowerCAmelCase_ = -1							,  lowerCAmelCase_ = -1							,  lowerCAmelCase_ = -1							,  lowerCAmelCase_ = False							,  lowerCAmelCase_ = None							,  lowerCAmelCase_ = 3							,  lowerCAmelCase_ = 4_0							,  lowerCAmelCase_ = 4_0							,  lowerCAmelCase_ = None							,  ) ->      Mapping[str, Any]:



						"""simple docstring"""







						a_       		=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'''


from collections.abc import Sequence






def  UpperCAmelCase_       (		lowercase__ = None       ):


     '''simple docstring'''







     if nums is None or not nums:
          raise ValueError("Input sequence should not be empty"       )

     a_       		=nums[0]
     for i in range(1       ,	len(lowercase__       )       ):
          a_       		=nums[i]
          a_       		=max(lowercase__       ,	ans + num       ,	lowercase__       )

     return ans


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  # Try on a sample input from the user
  lowercase							       =			int(input('''Enter number of elements : ''').strip())
  lowercase							       =			list(map(int, input('''\nEnter the numbers : ''').strip().split()))[:n]
  print(max_subsequence_sum(array))


