





'''simple docstring'''

from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

a        =						TypeVar("T")

def 						__magic_name__       (							__UpperCAmelCase      )						->					int:

   '''simple docstring'''







   return (position - 1) // 2

def 						__magic_name__       (							__UpperCAmelCase      )						->					int:

   '''simple docstring'''







   return (2 * position) + 1

def 						__magic_name__       (							__UpperCAmelCase      )						->					int:

   '''simple docstring'''







   return (2 * position) + 2







class __a (   Generic[T]			):





   def __init__(					self				:			str    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       []
      __SCREAMING_SNAKE_CASE      							=       {}
      __SCREAMING_SNAKE_CASE      							=       0





   def __len__(					self				:			Union[str, Any]    ):

      '''simple docstring'''

      return self.elements





   def __repr__(					self				:			Dict    ):

      '''simple docstring'''

      return str(self.heap    )





   def      UpperCAmelCase__     (					self				:			int    ):

      '''simple docstring'''

      return self.elements == 0





   def      UpperCAmelCase__     (					self				:			int				,lowerCamelCase				:			T				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      self.heap.append((elem, weight)    )
      __SCREAMING_SNAKE_CASE      							=       self.elements
      self.elements += 1
      self._bubble_up(lowerCamelCase    )





   def      UpperCAmelCase__     (					self				:			Union[str, Any]    ):

      '''simple docstring'''

      if self.elements > 1:
         self._swap_nodes(0				,self.elements - 1    )
      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap.pop()
      del self.position_map[elem]
      self.elements -= 1
      if self.elements > 0:
         __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap[0]
         self._bubble_down(lowerCamelCase    )
      return elem





   def      UpperCAmelCase__     (					self				:			Union[str, Any]				,lowerCamelCase				:			T				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       self.position_map[elem]
      __SCREAMING_SNAKE_CASE      							=       (elem, weight)
      if position > 0:
         __SCREAMING_SNAKE_CASE      							=       get_parent_position(lowerCamelCase    )
         __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap[parent_position]
         if parent_weight > weight:
            self._bubble_up(lowerCamelCase    )
         else:
            self._bubble_down(lowerCamelCase    )
      else:
         self._bubble_down(lowerCamelCase    )





   def      UpperCAmelCase__     (					self				:			Optional[int]				,lowerCamelCase				:			T    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       self.position_map[elem]
      if curr_pos == 0:
         return None
      __SCREAMING_SNAKE_CASE      							=       get_parent_position(lowerCamelCase    )
      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap[curr_pos]
      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap[parent_position]
      if parent_weight > weight:
         self._swap_nodes(lowerCamelCase				,lowerCamelCase    )
         return self._bubble_up(lowerCamelCase    )
      return None





   def      UpperCAmelCase__     (					self				:			int				,lowerCamelCase				:			T    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       self.position_map[elem]
      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap[curr_pos]
      __SCREAMING_SNAKE_CASE      							=       get_child_left_position(lowerCamelCase    )
      __SCREAMING_SNAKE_CASE      							=       get_child_right_position(lowerCamelCase    )
      if child_left_position < self.elements and child_right_position < self.elements:
         __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap[child_left_position]
         __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap[child_right_position]
         if child_right_weight < child_left_weight and child_right_weight < weight:
            self._swap_nodes(lowerCamelCase				,lowerCamelCase    )
            return self._bubble_down(lowerCamelCase    )
      if child_left_position < self.elements:
         __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap[child_left_position]
         if child_left_weight < weight:
            self._swap_nodes(lowerCamelCase				,lowerCamelCase    )
            return self._bubble_down(lowerCamelCase    )
      else:
         return None
      if child_right_position < self.elements:
         __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       self.heap[child_right_position]
         if child_right_weight < weight:
            self._swap_nodes(lowerCamelCase				,lowerCamelCase    )
            return self._bubble_down(lowerCamelCase    )
      return None





   def      UpperCAmelCase__     (					self				:			List[Any]				,lowerCamelCase				:			int				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       self.heap[nodea_pos][0]
      __SCREAMING_SNAKE_CASE      							=       self.heap[nodea_pos][0]
      __SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE      							=       (
          self.heap[nodea_pos],
          self.heap[nodea_pos],
      )
      __SCREAMING_SNAKE_CASE      							=       nodea_pos
      __SCREAMING_SNAKE_CASE      							=       nodea_pos







class __a (   Generic[T]			):





   def __init__(					self				:			List[Any]    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       {}
      __SCREAMING_SNAKE_CASE      							=       0





   def __repr__(					self				:			Optional[int]    ):

      '''simple docstring'''

      return str(self.connections    )





   def __len__(					self				:			List[str]    ):

      '''simple docstring'''

      return self.nodes





   def      UpperCAmelCase__     (					self				:			Union[str, Any]				,lowerCamelCase				:			T    ):

      '''simple docstring'''

      if node not in self.connections:
         __SCREAMING_SNAKE_CASE      							=       {}
         self.nodes += 1





   def      UpperCAmelCase__     (					self				:			str				,lowerCamelCase				:			T				,lowerCamelCase				:			T				,lowerCamelCase				:			int    ):

      '''simple docstring'''

      self.add_node(lowerCamelCase    )
      self.add_node(lowerCamelCase    )
      __SCREAMING_SNAKE_CASE      							=       weight
      __SCREAMING_SNAKE_CASE      							=       weight





def 						__magic_name__       (							__UpperCAmelCase							,	)						->					tuple[dict[T, int], dict[T, T | None]]:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       {node: maxsize for node in graph.connections}
   __SCREAMING_SNAKE_CASE      							=       {node: None for node in graph.connections}

   __SCREAMING_SNAKE_CASE      							=       MinPriorityQueue()
   for node, weight in dist.items():
      priority_queue.push(__UpperCAmelCase							,	__UpperCAmelCase      )

   if priority_queue.is_empty():
      return dist, parent

   # initialization
   __SCREAMING_SNAKE_CASE      							=       priority_queue.extract_min()
   __SCREAMING_SNAKE_CASE      							=       0
   for neighbour in graph.connections[node]:
      if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
         __SCREAMING_SNAKE_CASE      							=       dist[node] + graph.connections[node][neighbour]
         priority_queue.update_key(__UpperCAmelCase							,	dist[neighbour]      )
         __SCREAMING_SNAKE_CASE      							=       node

    # running prim's algorithm
   while not priority_queue.is_empty():
      __SCREAMING_SNAKE_CASE      							=       priority_queue.extract_min()
      for neighbour in graph.connections[node]:
         if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
            __SCREAMING_SNAKE_CASE      							=       dist[node] + graph.connections[node][neighbour]
            priority_queue.update_key(__UpperCAmelCase							,	dist[neighbour]      )
            __SCREAMING_SNAKE_CASE      							=       node
   return dist, parent












'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


a        =						logging.get_logger(__name__)

a        =						{
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}







class __a (   _snake_case			):
   __UpperCamelCase   : Tuple	      =	'camembert'





   def __init__(					self				:			int				,lowerCamelCase				:			List[Any]=3_0522				,lowerCamelCase				:			List[Any]=768				,lowerCamelCase				:			str=12				,lowerCamelCase				:			List[str]=12				,lowerCamelCase				:			Optional[Any]=3072				,lowerCamelCase				:			Tuple="gelu"				,lowerCamelCase				:			List[str]=0.1				,lowerCamelCase				:			Tuple=0.1				,lowerCamelCase				:			Union[str, Any]=512				,lowerCamelCase				:			Dict=2				,lowerCamelCase				:			Tuple=0.02				,lowerCamelCase				:			List[Any]=1E-1_2				,lowerCamelCase				:			Union[str, Any]=1				,lowerCamelCase				:			Optional[Any]=0				,lowerCamelCase				:			List[Any]=2				,lowerCamelCase				:			List[str]="absolute"				,lowerCamelCase				:			int=True				,lowerCamelCase				:			Any=None				,**lowerCamelCase				:			Optional[Any]				,):

      '''simple docstring'''

      super().__init__(pad_token_id=lowerCamelCase				,bos_token_id=lowerCamelCase				,eos_token_id=lowerCamelCase				,**lowerCamelCase    )

      __SCREAMING_SNAKE_CASE      							=       vocab_size
      __SCREAMING_SNAKE_CASE      							=       hidden_size
      __SCREAMING_SNAKE_CASE      							=       num_hidden_layers
      __SCREAMING_SNAKE_CASE      							=       num_attention_heads
      __SCREAMING_SNAKE_CASE      							=       hidden_act
      __SCREAMING_SNAKE_CASE      							=       intermediate_size
      __SCREAMING_SNAKE_CASE      							=       hidden_dropout_prob
      __SCREAMING_SNAKE_CASE      							=       attention_probs_dropout_prob
      __SCREAMING_SNAKE_CASE      							=       max_position_embeddings
      __SCREAMING_SNAKE_CASE      							=       type_vocab_size
      __SCREAMING_SNAKE_CASE      							=       initializer_range
      __SCREAMING_SNAKE_CASE      							=       layer_norm_eps
      __SCREAMING_SNAKE_CASE      							=       position_embedding_type
      __SCREAMING_SNAKE_CASE      							=       use_cache
      __SCREAMING_SNAKE_CASE      							=       classifier_dropout







class __a (   _snake_case			):





   @property
   def      UpperCAmelCase__     (					self				:			Optional[Any]    ):

      '''simple docstring'''

      if self.task == "multiple-choice":
         __SCREAMING_SNAKE_CASE      							=       {0: """batch""", 1: """choice""", 2: """sequence"""}
      else:
         __SCREAMING_SNAKE_CASE      							=       {0: """batch""", 1: """sequence"""}
      return OrderedDict(
          [
              ("""input_ids""", dynamic_axis),
              ("""attention_mask""", dynamic_axis),
          ]    )





