





from collections.abc import Sequence
from queue import Queue



class 				_UpperCAmelCase    :

  """simple docstring"""


  def __init__(				self :		Optional[Any]					,  lowerCAmelCase_ :		str					,  lowerCAmelCase_ :		Union[str, Any]					,  lowerCAmelCase_ :		Optional[int]					,  lowerCAmelCase_ :		Optional[Any]=None					,  lowerCAmelCase_ :		Union[str, Any]=None     )							->						str:
     __lowerCAmelCase								=	start
     __lowerCAmelCase								=	end
     __lowerCAmelCase								=	val
     __lowerCAmelCase								=	(start + end) // 2
     __lowerCAmelCase								=	left
     __lowerCAmelCase								=	right






  def __repr__(				self :		Tuple     )							->						int:
     return f"""SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"""





class 				_UpperCAmelCase    :

  """simple docstring"""


  def __init__(				self :		Any					,  lowerCAmelCase_ :		Sequence					,  lowerCAmelCase_ :		Tuple     )							->						Optional[int]:
     __lowerCAmelCase								=	collection
     __lowerCAmelCase								=	function
     if self.collection:
        __lowerCAmelCase								=	self._build_tree(0					,  len(lowerCAmelCase_     ) - 1     )






  def 				lowercase		(				self :		str					,  lowerCAmelCase_ :		Tuple					,  lowerCAmelCase_ :		str     )							->						int:
     self._update_tree(self.root					,  lowerCAmelCase_					,  lowerCAmelCase_     )






  def 				lowercase		(				self :		List[Any]					,  lowerCAmelCase_ :		Tuple					,  lowerCAmelCase_ :		List[str]     )							->						List[Any]:
     return self._query_range(self.root					,  lowerCAmelCase_					,  lowerCAmelCase_     )






  def 				lowercase		(				self :		Dict					,  lowerCAmelCase_ :		str					,  lowerCAmelCase_ :		Any     )							->						Dict:
     if start == end:
        return SegmentTreeNode(lowerCAmelCase_					,  lowerCAmelCase_					,  self.collection[start]     )
     __lowerCAmelCase								=	(start + end) // 2
     __lowerCAmelCase								=	self._build_tree(lowerCAmelCase_					,  lowerCAmelCase_     )
     __lowerCAmelCase								=	self._build_tree(mid + 1					,  lowerCAmelCase_     )
     return SegmentTreeNode(lowerCAmelCase_					,  lowerCAmelCase_					,  self.fn(left.val					,  right.val     )					,  lowerCAmelCase_					,  lowerCAmelCase_     )






  def 				lowercase		(				self :		List[str]					,  lowerCAmelCase_ :		str					,  lowerCAmelCase_ :		List[Any]					,  lowerCAmelCase_ :		Tuple     )							->						Tuple:
     if node.start == i and node.end == i:
        __lowerCAmelCase								=	val
        return
     if i <= node.mid:
        self._update_tree(node.left					,  lowerCAmelCase_					,  lowerCAmelCase_     )
     else:
        self._update_tree(node.right					,  lowerCAmelCase_					,  lowerCAmelCase_     )
     __lowerCAmelCase								=	self.fn(node.left.val					,  node.right.val     )






  def 				lowercase		(				self :		int					,  lowerCAmelCase_ :		Dict					,  lowerCAmelCase_ :		Dict					,  lowerCAmelCase_ :		Optional[Any]     )							->						str:
     if node.start == i and node.end == j:
        return node.val

     if i <= node.mid:
        if j <= node.mid:
           # range in left child tree
           return self._query_range(node.left					,  lowerCAmelCase_					,  lowerCAmelCase_     )
        else:
           # range in left child tree and right child tree
           return self.fn(
               self._query_range(node.left					,  lowerCAmelCase_					,  node.mid     )					,  self._query_range(node.right					,  node.mid + 1					,  lowerCAmelCase_     )					,  )
     else:
        # range in right child tree
        return self._query_range(node.right					,  lowerCAmelCase_					,  lowerCAmelCase_     )






  def 				lowercase		(				self :		str     )							->						Optional[Any]:
     if self.root is not None:
        __lowerCAmelCase								=	Queue()
        queue.put(self.root     )
        while not queue.empty():
           __lowerCAmelCase								=	queue.get()
           yield node

           if node.left is not None:
              queue.put(node.left     )

           if node.right is not None:
              queue.put(node.right     )


if __name__ == "__main__":
     import operator

     for fn in [operator.add, max, min]:
          print('*' * 50)
          _snake_case  :    str						    =  SegmentTree([2, 1, 5, 3, 4], fn)
          for node in arr.traverse():
               print(node)
          print()

          arr.update(1, 5)
          for node in arr.traverse():
               print(node)
          print()

          print(arr.query_range(3, 4))  # 7
          print(arr.query_range(2, 2))  # 5
          print(arr.query_range(1, 3))  # 13
          print()








from collections import OrderedDict
from typing import Mapping

from packaging import version

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


_snake_case  :    List[Any]						    =  logging.get_logger(__name__)

_snake_case  :    List[Any]						    =  {
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}



class 				_UpperCAmelCase    (    _UpperCamelCase    ):

  """simple docstring"""


  a_        = """beit"""






  def __init__(				self :		List[Any]					,  lowerCAmelCase_ :		Tuple=8_1_9_2					,  lowerCAmelCase_ :		Optional[int]=7_6_8					,  lowerCAmelCase_ :		int=1_2					,  lowerCAmelCase_ :		Optional[int]=1_2					,  lowerCAmelCase_ :		Any=3_0_7_2					,  lowerCAmelCase_ :		Optional[int]="gelu"					,  lowerCAmelCase_ :		Any=0.0					,  lowerCAmelCase_ :		Any=0.0					,  lowerCAmelCase_ :		Any=0.02					,  lowerCAmelCase_ :		int=1e-12					,  lowerCAmelCase_ :		int=2_2_4					,  lowerCAmelCase_ :		str=1_6					,  lowerCAmelCase_ :		int=3					,  lowerCAmelCase_ :		Dict=False					,  lowerCAmelCase_ :		int=False					,  lowerCAmelCase_ :		List[Any]=False					,  lowerCAmelCase_ :		int=False					,  lowerCAmelCase_ :		List[str]=0.1					,  lowerCAmelCase_ :		Union[str, Any]=0.1					,  lowerCAmelCase_ :		List[str]=True					,  lowerCAmelCase_ :		List[Any]=[3, 5, 7, 1_1]					,  lowerCAmelCase_ :		Optional[Any]=[1, 2, 3, 6]					,  lowerCAmelCase_ :		Tuple=True					,  lowerCAmelCase_ :		Dict=0.4					,  lowerCAmelCase_ :		Tuple=2_5_6					,  lowerCAmelCase_ :		Any=1					,  lowerCAmelCase_ :		Any=False					,  lowerCAmelCase_ :		Optional[int]=2_5_5					,  **lowerCAmelCase_ :		Any					,  )							->						Dict:
     super().__init__(**lowerCAmelCase_     )

     __lowerCAmelCase								=	vocab_size
     __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								=	initializer_range
     __lowerCAmelCase								=	layer_norm_eps

     __lowerCAmelCase								=	image_size
     __lowerCAmelCase								=	patch_size
     __lowerCAmelCase								=	num_channels
     __lowerCAmelCase								=	use_mask_token
     __lowerCAmelCase								=	use_absolute_position_embeddings
     __lowerCAmelCase								=	use_relative_position_bias
     __lowerCAmelCase								=	use_shared_relative_position_bias
     __lowerCAmelCase								=	layer_scale_init_value
     __lowerCAmelCase								=	drop_path_rate
     __lowerCAmelCase								=	use_mean_pooling
     # decode head attributes (semantic segmentation)
     __lowerCAmelCase								=	out_indices
     __lowerCAmelCase								=	pool_scales
     # auxiliary head attributes (semantic segmentation)
     __lowerCAmelCase								=	use_auxiliary_head
     __lowerCAmelCase								=	auxiliary_loss_weight
     __lowerCAmelCase								=	auxiliary_channels
     __lowerCAmelCase								=	auxiliary_num_convs
     __lowerCAmelCase								=	auxiliary_concat_input
     __lowerCAmelCase								=	semantic_loss_ignore_index





class 				_UpperCAmelCase    (    _UpperCamelCase    ):

  """simple docstring"""


  a_        = version.parse("""1.11"""    )






  @property
  def 				lowercase		(				self :		Tuple     )							->						Mapping[str, Mapping[int, str]]:
     return OrderedDict(
         [
             ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
         ]     )






  @property
  def 				lowercase		(				self :		Optional[Any]     )							->						float:
     return 1e-4

