



from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any



@dataclass
class     lowerCAmelCase_		:
       UpperCAmelCase__    : int
       UpperCAmelCase__    : Node | None       					=  None
       UpperCAmelCase__    : Node | None       					=  None






def 		UpperCamelCase     (       )     ->					Node | None:
   UpperCamelCase   :  List[Any]						     =     Node(1     )
   UpperCamelCase   :  Dict						     =     Node(2     )
   UpperCamelCase   :  Optional[int]						     =     Node(3     )
   UpperCamelCase   :  str						     =     Node(4     )
   UpperCamelCase   :  Optional[Any]						     =     Node(5     )
   return tree
def 		UpperCamelCase     (       snake_case__	:   Node | None     )     ->					list[int]:
   return [root.data, *preorder(root.left     ), *preorder(root.right     )] if root else []
def 		UpperCamelCase     (       snake_case__	:   Node | None     )     ->					list[int]:
   return postorder(root.left     ) + postorder(root.right     ) + [root.data] if root else []
def 		UpperCamelCase     (       snake_case__	:   Node | None     )     ->					list[int]:
   return [*inorder(root.left     ), root.data, *inorder(root.right     )] if root else []
def 		UpperCamelCase     (       snake_case__	:   Node | None     )     ->					int:
   return (max(height(root.left     )	,					height(root.right     )     ) + 1) if root else 0
def 		UpperCamelCase     (       snake_case__	:   Node | None     )     ->					Sequence[Node | None]:
   UpperCamelCase   :  list[Any]						     =     []

   if root is None:
      return output

   UpperCamelCase   :  Union[str, Any]						     =     deque([root]     )

   while process_queue:
      UpperCamelCase   :  List[str]						     =     process_queue.popleft()
      output.append(node.data     )

      if node.left:
         process_queue.append(node.left     )
      if node.right:
         process_queue.append(node.right     )
   return output
def 		UpperCamelCase     (       snake_case__	:   Node | None	,					snake_case__	:   int     )     ->					Sequence[Node | None]:
   UpperCamelCase   :  list[Any]						     =     []

   def populate_output(snake_case__	:   Node | None	,					snake_case__	:   int     ) -> None:
      if not root:
         return
      if level == 1:
         output.append(root.data     )
      elif level > 1:
         populate_output(root.left	,					level - 1     )
         populate_output(root.right	,					level - 1     )

   populate_output(snake_case__	,					snake_case__     )
   return output
def 		UpperCamelCase     (       snake_case__	:   Node | None	,					snake_case__	:   int     )     ->					Sequence[Node | None]:
   UpperCamelCase   :  list[Any]						     =     []

   def populate_output(snake_case__	:   Node | None	,					snake_case__	:   int     ) -> None:
      if root is None:
         return
      if level == 1:
         output.append(root.data     )
      elif level > 1:
         populate_output(root.right	,					level - 1     )
         populate_output(root.left	,					level - 1     )

   populate_output(snake_case__	,					snake_case__     )
   return output
def 		UpperCamelCase     (       snake_case__	:   Node | None     )     ->					Sequence[Node | None] | list[Any]:
   if root is None:
      return []

   UpperCamelCase   :  list[Sequence[Node | None]]						     =     []

   UpperCamelCase   :  Union[str, Any]						     =     0
   UpperCamelCase   :  List[str]						     =     height(snake_case__     )

   for h in range(1	,					height_tree + 1     ):
      if not flag:
         output.append(get_nodes_from_left_to_right(snake_case__	,					snake_case__     )     )
         UpperCamelCase   :  Tuple						     =     1
      else:
         output.append(get_nodes_from_right_to_left(snake_case__	,					snake_case__     )     )
         UpperCamelCase   :  Dict						     =     0

   return output
def 		UpperCamelCase     (       )     ->					None:  # Main function for testing.
   UpperCamelCase   :  List[str]						     =     make_tree()
   print(F"""In-order Traversal: {inorder(snake_case__     )}"""     )
   print(F"""Pre-order Traversal: {preorder(snake_case__     )}"""     )
   print(F"""Post-order Traversal: {postorder(snake_case__     )}"""	,					'\n'     )

   print(F"""Height of Tree: {height(snake_case__     )}"""	,					'\n'     )

   print('Complete Level Order Traversal: '     )
   print(level_order(snake_case__     )	,					'\n'     )

   print('Level-wise order Traversal: '     )

   for level in range(1	,					height(snake_case__     ) + 1     ):
      print(F"""Level {level}:"""	,					get_nodes_from_left_to_right(snake_case__	,					level=snake_case__     )     )

   print('\nZigZag order Traversal: '     )
   print(zigzag(snake_case__     )     )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()








from collections import OrderedDict
from typing import Mapping

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


__UpperCAmelCase	       =	logging.get_logger(__name__)

__UpperCAmelCase	       =	{
    '''facebook/data2vec-text-base''': '''https://huggingface.co/data2vec/resolve/main/config.json''',
}



class     lowerCAmelCase_		(  a__							):
       UpperCAmelCase__    : int       					=  "data2vec-text"
       def __init__(      self,      SCREAMING_SNAKE_CASE_=3_0522,      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_=2,      SCREAMING_SNAKE_CASE_=0.02,      SCREAMING_SNAKE_CASE_=1e-12,      SCREAMING_SNAKE_CASE_=1,      SCREAMING_SNAKE_CASE_=0,      SCREAMING_SNAKE_CASE_=2,      SCREAMING_SNAKE_CASE_="absolute",      SCREAMING_SNAKE_CASE_=True,      SCREAMING_SNAKE_CASE_=None,      **SCREAMING_SNAKE_CASE_,      )					->		Optional[int]:
          super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_,      bos_token_id=SCREAMING_SNAKE_CASE_,      eos_token_id=SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)

          UpperCamelCase   :  Optional[int]						     =     vocab_size
          UpperCamelCase   :  Tuple						     =     hidden_size
          UpperCamelCase   :  int						     =     num_hidden_layers
          UpperCamelCase   :  Dict						     =     num_attention_heads
          UpperCamelCase   :  str						     =     hidden_act
          UpperCamelCase   :  List[str]						     =     intermediate_size
          UpperCamelCase   :  Optional[int]						     =     hidden_dropout_prob
          UpperCamelCase   :  Dict						     =     attention_probs_dropout_prob
          UpperCamelCase   :  int						     =     max_position_embeddings
          UpperCamelCase   :  List[str]						     =     type_vocab_size
          UpperCamelCase   :  List[Any]						     =     initializer_range
          UpperCamelCase   :  List[str]						     =     layer_norm_eps
          UpperCamelCase   :  List[str]						     =     position_embedding_type
          UpperCamelCase   :  Any						     =     use_cache
          UpperCamelCase   :  Any						     =     classifier_dropout






class     lowerCAmelCase_		(  a__							):
       @property
       def  snake_case_	(      self	)					->		Mapping[str, Mapping[int, str]]:
          if self.task == "multiple-choice":
             UpperCamelCase   :  List[Any]						     =     {0: 'batch', 1: 'choice', 2: 'sequence'}
          else:
             UpperCamelCase   :  int						     =     {0: 'batch', 1: 'sequence'}
          return OrderedDict(
              [
                  ('input_ids', dynamic_axis),
                  ('attention_mask', dynamic_axis),
              ]	)



