"""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


_SCREAMING_SNAKE_CASE  :		Dict        =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE  :		List[Any]        =      {
    '''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       ( UpperCAmelCase							):



   '''simple docstring'''



   __UpperCAmelCase  :       Dict						=						"deberta"







   def __init__(  self   ,							_SCREAMING_SNAKE_CASE=50265   ,							_SCREAMING_SNAKE_CASE=768   ,							_SCREAMING_SNAKE_CASE=12   ,							_SCREAMING_SNAKE_CASE=12   ,							_SCREAMING_SNAKE_CASE=3072   ,							_SCREAMING_SNAKE_CASE="gelu"   ,							_SCREAMING_SNAKE_CASE=0.1   ,							_SCREAMING_SNAKE_CASE=0.1   ,							_SCREAMING_SNAKE_CASE=512   ,							_SCREAMING_SNAKE_CASE=0   ,							_SCREAMING_SNAKE_CASE=0.02   ,							_SCREAMING_SNAKE_CASE=1E-7   ,							_SCREAMING_SNAKE_CASE=False   ,							_SCREAMING_SNAKE_CASE=-1   ,							_SCREAMING_SNAKE_CASE=0   ,							_SCREAMING_SNAKE_CASE=True   ,							_SCREAMING_SNAKE_CASE=None   ,							_SCREAMING_SNAKE_CASE=0   ,							_SCREAMING_SNAKE_CASE="gelu"   ,							**_SCREAMING_SNAKE_CASE   ,							):


      '''simple docstring'''

      super().__init__(**_SCREAMING_SNAKE_CASE  )

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

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

      __lowerCamelCase								=				pos_att_type
      __lowerCamelCase								=				vocab_size
      __lowerCamelCase								=				layer_norm_eps

      __lowerCamelCase								=				kwargs.get('pooler_hidden_size'   ,							_SCREAMING_SNAKE_CASE  )
      __lowerCamelCase								=				pooler_dropout
      __lowerCamelCase								=				pooler_hidden_act






class     _SCREAMING_SNAKE_CASE       ( UpperCAmelCase							):



   '''simple docstring'''



   @property
   def       _A							(  self  ):


      '''simple docstring'''

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


      '''simple docstring'''

      return 12







   def       _A							(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE = -1   ,							_SCREAMING_SNAKE_CASE = -1   ,							_SCREAMING_SNAKE_CASE = -1   ,							_SCREAMING_SNAKE_CASE = False   ,							_SCREAMING_SNAKE_CASE = None   ,							_SCREAMING_SNAKE_CASE = 3   ,							_SCREAMING_SNAKE_CASE = 40   ,							_SCREAMING_SNAKE_CASE = 40   ,							_SCREAMING_SNAKE_CASE = None   ,							):


      '''simple docstring'''

      __lowerCamelCase								=				super().generate_dummy_inputs(preprocessor=_SCREAMING_SNAKE_CASE   ,							framework=_SCREAMING_SNAKE_CASE  )
      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 __future__ import annotations

from collections.abc import Iterable






class     _SCREAMING_SNAKE_CASE       :



   '''simple docstring'''



   def __init__(  self   ,							_SCREAMING_SNAKE_CASE   ,							_SCREAMING_SNAKE_CASE  ):


      '''simple docstring'''

      __lowerCamelCase		,__lowerCamelCase								=				float(_SCREAMING_SNAKE_CASE  ), float(_SCREAMING_SNAKE_CASE  )







   def __eq__(  self   ,							_SCREAMING_SNAKE_CASE  ):


      '''simple docstring'''

      return self.x == other.x and self.y == other.y







   def __ne__(  self   ,							_SCREAMING_SNAKE_CASE  ):


      '''simple docstring'''

      return not self == other







   def __gt__(  self   ,							_SCREAMING_SNAKE_CASE  ):


      '''simple docstring'''

      if self.x > other.x:
         return True
      elif self.x == other.x:
         return self.y > other.y
      return False







   def __lt__(  self   ,							_SCREAMING_SNAKE_CASE  ):


      '''simple docstring'''

      return not self > other







   def __ge__(  self   ,							_SCREAMING_SNAKE_CASE  ):


      '''simple docstring'''

      if self.x > other.x:
         return True
      elif self.x == other.x:
         return self.y >= other.y
      return False







   def __le__(  self   ,							_SCREAMING_SNAKE_CASE  ):


      '''simple docstring'''

      if self.x < other.x:
         return True
      elif self.x == other.x:
         return self.y <= other.y
      return False







   def __repr__(  self  ):


      '''simple docstring'''

      return F'''({self.x}, {self.y})'''







   def __hash__(  self  ):


      '''simple docstring'''

      return hash(self.x  )



def 			A__						(  lowercase_    :  list[Point] | list[list[float]] | Iterable[list[float]]			,   )     ->       list[Point]:
   __lowerCamelCase								=				[]
   if list_of_tuples:
      for p in list_of_tuples:
         if isinstance(lowercase_			,   lowercase_	):
            points.append(lowercase_	)
         else:
            try:
               points.append(Point(p[0]			,   p[1]	)	)
            except (IndexError, TypeError):
               print(
                   F'''Ignoring deformed point {p}. All points'''
                   ' must have at least 2 coordinates.'	)
   return points



def 			A__						(  lowercase_    :  list[Point] | list[list[float]]	)     ->       list[Point]:

   if not hasattr(lowercase_			,   '__iter__'	):
      __lowerCamelCase								=				F'''Expecting an iterable object but got an non-iterable type {points}'''
      raise ValueError(lowercase_	)

   if not points:
      __lowerCamelCase								=				F'''Expecting a list of points but got {points}'''
      raise ValueError(lowercase_	)

   return _construct_points(lowercase_	)



def 			A__						(  lowercase_    :  Point			,   lowercase_    :  Point			,   lowercase_    :  Point	)     ->       float:
   __lowerCamelCase								=				(a.x * b.y + b.x * c.y + c.x * a.y) - (a.y * b.x + b.y * c.x + c.y * a.x)
   return det



def 			A__						(  lowercase_    :  list[Point]	)     ->       list[Point]:
   __lowerCamelCase								=				sorted(_validate_input(lowercase_	)	)
   __lowerCamelCase								=				len(lowercase_	)
   __lowerCamelCase								=				set()

   for i in range(n - 1	):
      for j in range(i + 1			,   lowercase_	):
         __lowerCamelCase								=				__lowerCamelCase								=				False
         __lowerCamelCase								=				True
         for k in range(lowercase_	):
            if k != i and k != j:
               __lowerCamelCase								=				_det(points[i]			,   points[j]			,   points[k]	)

               if det_k > 0:
                  __lowerCamelCase								=				True
               elif det_k < 0:
                  __lowerCamelCase								=				True
               else:
                  # point[i], point[j], point[k] all lie on a straight line
                  # if point[k] is to the left of point[i] or it's to the
                  # right of point[j], then point[i], point[j] cannot be
                  # part of the convex hull of A
                  if points[k] < points[i] or points[k] > points[j]:
                     __lowerCamelCase								=				False
                     break

            if points_left_of_ij and points_right_of_ij:
               __lowerCamelCase								=				False
               break

         if ij_part_of_convex_hull:
            convex_set.update([points[i], points[j]]	)

   return sorted(lowercase_	)



def 			A__						(  lowercase_    :  list[Point]	)     ->       list[Point]:
   __lowerCamelCase								=				sorted(_validate_input(lowercase_	)	)
   __lowerCamelCase								=				len(lowercase_	)

   # divide all the points into an upper hull and a lower hull
   # the left most point and the right most point are definitely
   # members of the convex hull by definition.
   # use these two anchors to divide all the points into two hulls,
   # an upper hull and a lower hull.

   # all points to the left (above) the line joining the extreme points belong to the
   # upper hull
   # all points to the right (below) the line joining the extreme points below to the
   # lower hull
   # ignore all points on the line joining the extreme points since they cannot be
   # part of the convex hull

   __lowerCamelCase								=				points[0]
   __lowerCamelCase								=				points[n - 1]

   __lowerCamelCase								=				{left_most_point, right_most_point}
   __lowerCamelCase								=				[]
   __lowerCamelCase								=				[]

   for i in range(1			,   n - 1	):
      __lowerCamelCase								=				_det(lowercase_			,   lowercase_			,   points[i]	)

      if det > 0:
         upper_hull.append(points[i]	)
      elif det < 0:
         lower_hull.append(points[i]	)

   _construct_hull(lowercase_			,   lowercase_			,   lowercase_			,   lowercase_	)
   _construct_hull(lowercase_			,   lowercase_			,   lowercase_			,   lowercase_	)

   return sorted(lowercase_	)



def 			A__						(  lowercase_    :  list[Point]			,   lowercase_    :  Point			,   lowercase_    :  Point			,   lowercase_    :  set[Point]	)     ->       None:
   if points:
      __lowerCamelCase								=				None
      __lowerCamelCase								=				float('-inf'	)
      __lowerCamelCase								=				[]

      for p in points:
         __lowerCamelCase								=				_det(lowercase_			,   lowercase_			,   lowercase_	)

         if det > 0:
            candidate_points.append(lowercase_	)

            if det > extreme_point_distance:
               __lowerCamelCase								=				det
               __lowerCamelCase								=				p

      if extreme_point:
         _construct_hull(lowercase_			,   lowercase_			,   lowercase_			,   lowercase_	)
         convex_set.add(lowercase_	)
         _construct_hull(lowercase_			,   lowercase_			,   lowercase_			,   lowercase_	)



def 			A__						(  lowercase_    :  list[Point]	)     ->       list[Point]:
   __lowerCamelCase								=				sorted(_validate_input(lowercase_	)	)
   __lowerCamelCase								=				len(lowercase_	)

   __lowerCamelCase								=				points[:2]
   for i in range(2			,   lowercase_	):
      __lowerCamelCase								=				_det(convex_hull[1]			,   convex_hull[0]			,   points[i]	)
      if det > 0:
         convex_hull.insert(0			,   points[i]	)
         break
      elif det < 0:
         convex_hull.append(points[i]	)
         break
      else:
         __lowerCamelCase								=				points[i]
   i += 1

   for j in range(lowercase_			,   lowercase_	):
      if (
          _det(convex_hull[0]			,   convex_hull[-1]			,   points[j]	) > 0
          and _det(convex_hull[-1]			,   convex_hull[0]			,   points[1]	) < 0
      ):
         # The point lies within the convex hull
         continue

      convex_hull.insert(0			,   points[j]	)
      convex_hull.append(points[j]	)
      while _det(convex_hull[0]			,   convex_hull[1]			,   convex_hull[2]	) >= 0:
         del convex_hull[1]
      while _det(convex_hull[-1]			,   convex_hull[-2]			,   convex_hull[-3]	) <= 0:
         del convex_hull[-2]

    # `convex_hull` is contains the convex hull in circular order
   return sorted(convex_hull[1:] if len(lowercase_	) > 3 else convex_hull	)



def 			A__						(  )     ->       List[Any]:
   __lowerCamelCase								=				[
       (0, 3),
       (2, 2),
       (1, 1),
       (2, 1),
       (3, 0),
       (0, 0),
       (3, 3),
       (2, -1),
       (2, -4),
       (1, -3),
   ]
   # the convex set of points is
   # [(0, 0), (0, 3), (1, -3), (2, -4), (3, 0), (3, 3)]
   __lowerCamelCase								=				convex_hull_bf(lowercase_	)

   __lowerCamelCase								=				convex_hull_recursive(lowercase_	)
   assert results_bf == results_recursive

   __lowerCamelCase								=				convex_hull_melkman(lowercase_	)
   assert results_bf == results_melkman

   print(lowercase_	)


if __name__ == "__main__":
     main()






