


from collections.abc import Sequence
from queue import Queue






class        __snake_case	:







    """simple docstring"""



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





    def __repr__(       self   :  Optional[int]		)       ->  Any:
      return F'SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'







class        __snake_case	:







    """simple docstring"""



    def __init__(       self   :  Optional[Any]   ,						lowerCamelCase   :  List[str]   ,						lowerCamelCase   :  Any		)       ->  Dict:
      lowerCAmelCase_      :				Optional[Any]      =       collection
      lowerCAmelCase_      :				Optional[Any]      =       function
      if self.collection:
        lowerCAmelCase_      :				Optional[Any]      =       self._build_tree(0   ,						len(a_		) - 1		)

    def __lowercase       (       self   :  int   ,						lowerCamelCase   :  int   ,						lowerCamelCase   :  Optional[Any]		)       ->  List[Any]:
      self._update_tree(self.root   ,						a_   ,						a_		)

    def __lowercase       (       self   :  Optional[Any]   ,						lowerCamelCase   :  Optional[int]   ,						lowerCamelCase   :  Optional[int]		)       ->  str:
      return self._query_range(self.root   ,						a_   ,						a_		)

    def __lowercase       (       self   :  List[str]   ,						lowerCamelCase   :  Optional[Any]   ,						lowerCamelCase   :  Tuple		)       ->  Tuple:

      if start == end:
        return SegmentTreeNode(a_   ,						a_   ,						self.collection[start]		)
      lowerCAmelCase_      :				str      =       (start + end) // 2
      lowerCAmelCase_      :				Dict      =       self._build_tree(a_   ,						a_		)
      lowerCAmelCase_      :				Optional[int]      =       self._build_tree(mid + 1   ,						a_		)
      return SegmentTreeNode(a_   ,						a_   ,						self.fn(left.val   ,						right.val		)   ,						a_   ,						a_		)

    def __lowercase       (       self   :  int   ,						lowerCamelCase   :  Union[str, Any]   ,						lowerCamelCase   :  Tuple   ,						lowerCamelCase   :  List[str]		)       ->  Optional[int]:

      if node.start == i and node.end == i:
        lowerCAmelCase_      :				str      =       val
        return
      if i <= node.mid:
        self._update_tree(node.left   ,						a_   ,						a_		)
      else:
        self._update_tree(node.right   ,						a_   ,						a_		)
      lowerCAmelCase_      :				Optional[Any]      =       self.fn(node.left.val   ,						node.right.val		)

    def __lowercase       (       self   :  Optional[int]   ,						lowerCamelCase   :  Optional[Any]   ,						lowerCamelCase   :  Tuple   ,						lowerCamelCase   :  List[Any]		)       ->  Optional[Any]:

      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   ,						a_   ,						a_		)
        else:
          # range in left child tree and right child tree
          return self.fn(
              self._query_range(node.left   ,						a_   ,						node.mid		)   ,						self._query_range(node.right   ,						node.mid + 1   ,						a_		)   ,						)
      else:
        # range in right child tree
        return self._query_range(node.right   ,						a_   ,						a_		)





    def __lowercase       (       self   :  Any		)       ->  List[str]:

      if self.root is not None:
        lowerCAmelCase_      :				str      =       Queue()
        queue.put(self.root		)
        while not queue.empty():
          lowerCAmelCase_      :				List[Any]      =       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)
    __A :  Union[str, Any]    							=				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()







'''simple docstring'''






from typing import List

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A :  Dict    							=				logging.get_logger(__name__)

__A :  int    							=				{
    "snap-research/efficientformer-l1-300": (
        "https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"
    ),
}






class        __snake_case	(       _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase       			= 'efficientformer'

    def __init__(       self   :  Any   ,						lowerCamelCase   :  List[int] = [3, 2, 6, 4]   ,						lowerCamelCase   :  List[int] = [48, 96, 2_24, 4_48]   ,						lowerCamelCase   :  List[bool] = [True, True, True, True]   ,						lowerCamelCase   :  int = 4_48   ,						lowerCamelCase   :  int = 32   ,						lowerCamelCase   :  int = 4   ,						lowerCamelCase   :  int = 7   ,						lowerCamelCase   :  int = 5   ,						lowerCamelCase   :  int = 8   ,						lowerCamelCase   :  int = 4   ,						lowerCamelCase   :  float = 0.0   ,						lowerCamelCase   :  int = 16   ,						lowerCamelCase   :  int = 3   ,						lowerCamelCase   :  int = 3   ,						lowerCamelCase   :  int = 3   ,						lowerCamelCase   :  int = 2   ,						lowerCamelCase   :  int = 1   ,						lowerCamelCase   :  float = 0.0   ,						lowerCamelCase   :  int = 1   ,						lowerCamelCase   :  bool = True   ,						lowerCamelCase   :  bool = True   ,						lowerCamelCase   :  float = 1E-5   ,						lowerCamelCase   :  str = "gelu"   ,						lowerCamelCase   :  float = 0.02   ,						lowerCamelCase   :  float = 1E-12   ,						lowerCamelCase   :  int = 2_24   ,						lowerCamelCase   :  float = 1E-05   ,						**lowerCamelCase   :  int   ,						)       ->  None:
      super().__init__(**lowerCamelCase		)

      lowerCAmelCase_      :				List[str]      =       hidden_act
      lowerCAmelCase_      :				List[Any]      =       hidden_dropout_prob
      lowerCAmelCase_      :				Any      =       hidden_sizes
      lowerCAmelCase_      :				List[Any]      =       num_hidden_layers
      lowerCAmelCase_      :				Union[str, Any]      =       num_attention_heads
      lowerCAmelCase_      :				Tuple      =       initializer_range
      lowerCAmelCase_      :				Union[str, Any]      =       layer_norm_eps
      lowerCAmelCase_      :				int      =       patch_size
      lowerCAmelCase_      :				List[str]      =       num_channels
      lowerCAmelCase_      :				Dict      =       depths
      lowerCAmelCase_      :				int      =       mlp_expansion_ratio
      lowerCAmelCase_      :				Optional[Any]      =       downsamples
      lowerCAmelCase_      :				Union[str, Any]      =       dim
      lowerCAmelCase_      :				Union[str, Any]      =       key_dim
      lowerCAmelCase_      :				str      =       attention_ratio
      lowerCAmelCase_      :				Tuple      =       resolution
      lowerCAmelCase_      :				Optional[Any]      =       pool_size
      lowerCAmelCase_      :				str      =       downsample_patch_size
      lowerCAmelCase_      :				Dict      =       downsample_stride
      lowerCAmelCase_      :				str      =       downsample_pad
      lowerCAmelCase_      :				str      =       drop_path_rate
      lowerCAmelCase_      :				List[Any]      =       num_metaad_blocks
      lowerCAmelCase_      :				Tuple      =       distillation
      lowerCAmelCase_      :				Optional[Any]      =       use_layer_scale
      lowerCAmelCase_      :				Dict      =       layer_scale_init_value
      lowerCAmelCase_      :				Optional[Any]      =       image_size
      lowerCAmelCase_      :				Optional[Any]      =       batch_norm_eps



