


import warnings
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							:	Optional[int]					      =				logging.get_logger(__name__)

snake_case							:	str					      =				{
    '''nvidia/segformer-b0-finetuned-ade-512-512''': (
        '''https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'''
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}







class 	snake_case_       (lowerCamelCase_				):
					UpperCAmelCase__ :   Dict   				=      '''segformer'''
					def __init__(				self       :Optional[int]      ,__snake_case       :Optional[int]=3      ,__snake_case       :Dict=4      ,__snake_case       :Tuple=[2, 2, 2, 2]      ,__snake_case       :List[str]=[8, 4, 2, 1]      ,__snake_case       :Any=[32, 64, 1_60, 2_56]      ,__snake_case       :Tuple=[7, 3, 3, 3]      ,__snake_case       :List[Any]=[4, 2, 2, 2]      ,__snake_case       :Any=[1, 2, 5, 8]      ,__snake_case       :Optional[int]=[4, 4, 4, 4]      ,__snake_case       :List[str]="gelu"      ,__snake_case       :Optional[int]=0.0      ,__snake_case       :Dict=0.0      ,__snake_case       :Dict=0.1      ,__snake_case       :Any=0.02      ,__snake_case       :str=0.1      ,__snake_case       :Tuple=1E-6      ,__snake_case       :Dict=2_56      ,__snake_case       :List[str]=2_55      ,**__snake_case       :Any      ,) ->   Dict:
												super().__init__(**__snake_case				)

												if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
																			warnings.warn(
																			    'Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'
																			    ' removed, as the behaviour will default to that of reshape_last_stage = True.'      ,__snake_case      ,)

												a__					=					num_channels
												a__					=					num_encoder_blocks
												a__					=					depths
												a__					=					sr_ratios
												a__					=					hidden_sizes
												a__					=					patch_sizes
												a__					=					strides
												a__					=					mlp_ratios
												a__					=					num_attention_heads
												a__					=					hidden_act
												a__					=					hidden_dropout_prob
												a__					=					attention_probs_dropout_prob
												a__					=					classifier_dropout_prob
												a__					=					initializer_range
												a__					=					drop_path_rate
												a__					=					layer_norm_eps
												a__					=					decoder_hidden_size
												a__					=					kwargs.get('reshape_last_stage'      ,__snake_case				)
												a__					=					semantic_loss_ignore_index







class 	snake_case_       (lowerCamelCase_				):
					UpperCAmelCase__ :   Dict   				=      version.parse('''1.11'''				)
					@property
					def 			lowerCamelCase__(				self       :Any				) ->   Mapping[str, Mapping[int, str]]:
												return OrderedDict(
												    [
												        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
												    ]				)
					@property
					def 			lowerCamelCase__(				self       :Optional[Any]				) ->   float:
												return 1E-4



					@property
					def 			lowerCamelCase__(				self       :Union[str, Any]				) ->   int:
												return 12








from __future__ import annotations







class 	snake_case_       :
					def __init__(				self       :List[str]      ,__snake_case       :int				) ->   None:
												a__					=					data
												a__					=					None
												a__					=					None






def 							__lowercase       (			__lowerCAmelCase							:    Node | None       ):  # In Order traversal of the tree
							if tree:
														display(tree.left       )
														print(tree.data       )
														display(tree.right       )






def 							__lowercase       (			__lowerCAmelCase							:    Node | None       ):
							return 1 + max(depth_of_tree(tree.left       ) ,   depth_of_tree(tree.right       )       ) if tree else 0






def 							__lowercase       (			__lowerCAmelCase							:    Node       ):
							if not tree:
														return True
							if tree.left and tree.right:
														return is_full_binary_tree(tree.left       ) and is_full_binary_tree(tree.right       )
							else:
														return not tree.left and not tree.right






def 							__lowercase       (			):  # Main function for testing.
							a__					=					Node(1       )
							a__					=					Node(2       )
							a__					=					Node(3       )
							a__					=					Node(4       )
							a__					=					Node(5       )
							a__					=					Node(6       )
							a__					=					Node(7       )
							a__					=					Node(8       )
							a__					=					Node(9       )

							print(is_full_binary_tree(__lowerCAmelCase       )       )
							print(depth_of_tree(__lowerCAmelCase       )       )
							print('Tree is: '       )
							display(__lowerCAmelCase       )


if __name__ == "__main__":
						main()




