
'''simple docstring'''

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


UpperCamelCase_            =    logging.get_logger(__name__)

UpperCamelCase_            =    {
    'MBZUAI/swiftformer-xs': 'https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json',
}


class 					a_					(A__      ):
       __lowerCAmelCase      :			int      = """swiftformer"""




       def __init__(       self				,				snake_case_=3				,				snake_case_=[3, 3, 6, 4]				,				snake_case_=[4_8, 5_6, 1_1_2, 2_2_0]				,				snake_case_=4				,				snake_case_=[True, True, True, True]				,				snake_case_="gelu"				,				snake_case_=3				,				snake_case_=2				,				snake_case_=1				,				snake_case_=0.0				,				snake_case_=True				,				snake_case_=1E-5				,				snake_case_=1E-5				,				**snake_case_				,				):
         super().__init__(**snake_case_					)
         _lowerCAmelCase    :					Tuple							=   num_channels
         _lowerCAmelCase    :					List[str]							=   depths
         _lowerCAmelCase    :					Union[str, Any]							=   embed_dims
         _lowerCAmelCase    :					str							=   mlp_ratio
         _lowerCAmelCase    :					int							=   downsamples
         _lowerCAmelCase    :					str							=   hidden_act
         _lowerCAmelCase    :					str							=   down_patch_size
         _lowerCAmelCase    :					Optional[int]							=   down_stride
         _lowerCAmelCase    :					Optional[Any]							=   down_pad
         _lowerCAmelCase    :					Dict							=   drop_path_rate
         _lowerCAmelCase    :					int							=   use_layer_scale
         _lowerCAmelCase    :					Optional[Any]							=   layer_scale_init_value
         _lowerCAmelCase    :					List[str]							=   batch_norm_eps



class 					a_					(A__      ):
       __lowerCAmelCase      :			Optional[int]      = version.parse("""1.11"""      )




       @property
       def 							__UpperCamelCase    (       self					):
         return OrderedDict(
             [
                 ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
             ]					)







       @property
       def 							__UpperCamelCase    (       self					):
         return 1E-4



'''simple docstring'''

from __future__ import annotations


class 					a_					:




       def __init__(       self				,				snake_case_ = 0					):
         _lowerCAmelCase    :					Optional[Any]							=   value
         _lowerCAmelCase    :					Node | None							=   None
         _lowerCAmelCase    :					Node | None							=   None



def 		_UpperCAmelCase			(					_lowerCamelCase  :    Node | None					, _lowerCamelCase  :    Node | None						)      ->  Node | None:
  if treea is None:
    return treea
  if treea is None:
    return treea

  _lowerCAmelCase    :					Any							=   treea.value + treea.value
  _lowerCAmelCase    :					Tuple							=   merge_two_binary_trees(treea.left					, treea.left						)
  _lowerCAmelCase    :					List[str]							=   merge_two_binary_trees(treea.right					, treea.right						)
  return treea


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Node | None						)      ->  None:
  if root:
    print(root.value						)
    print_preorder(root.left						)
    print_preorder(root.right						)


if __name__ == "__main__":
     UpperCamelCase_            =    Node(1)
     UpperCamelCase_            =    Node(2)
     UpperCamelCase_            =    Node(3)
     UpperCamelCase_            =    Node(4)

     UpperCamelCase_            =    Node(2)
     UpperCamelCase_            =    Node(4)
     UpperCamelCase_            =    Node(6)
     UpperCamelCase_            =    Node(9)
     UpperCamelCase_            =    Node(5)

     print("""Tree1 is: """)
     print_preorder(treea)
     print("""Tree2 is: """)
     print_preorder(treea)
     UpperCamelCase_            =    merge_two_binary_trees(treea, treea)
     print("""Merged Tree is: """)
     print_preorder(merged_tree)


