


from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

A	:		Optional[int]    =       (3, 9, -1_1, 0, 7, 5, 1, -1)
A	:		str    =       (4, 6, 2, 0, 8, 1_0, 3, -2)



@dataclass
class 							A   :
					'''simple docstring'''






					A__      =			42
					A__      =			42






class 							A   :
					'''simple docstring'''






					def __init__(self   :						str				, _UpperCAmelCase   :						Iterable[int]		)						->       None:




							"""simple docstring"""


							lowercase__					      =		None
							for i in sorted(_UpperCAmelCase				, reverse=_UpperCAmelCase		):
									lowercase__					      =		Node(_UpperCAmelCase				, self.head		)

					def __iter__(self   :						Any		)						->       Iterator[int]:




							"""simple docstring"""


							lowercase__					      =		self.head
							while node:
									yield node.data
									lowercase__					      =		node.next_node

					def __len__(self   :						List[str]		)						->       int:




							"""simple docstring"""


							return sum(1 for _ in self		)


					def __str__(self   :						List[str]		)						->       str:




							"""simple docstring"""


							return " -> ".join([str(_UpperCAmelCase		) for node in self]		)






def 			UpperCamelCase (     __magic_name__					:							SortedLinkedList   ,   __magic_name__					:							SortedLinkedList					)       ->  SortedLinkedList:
		"""simple docstring"""




		return SortedLinkedList(list(__magic_name__					) + list(__magic_name__					)					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	A	:		Tuple    =       SortedLinkedList
	print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))





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


A	:		List[str]    =       logging.get_logger(__name__)

A	:		List[Any]    =       {
    '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 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			'''segformer'''

					def __init__(self   :						Dict				, _UpperCAmelCase   :						Optional[int]=3				, _UpperCAmelCase   :						Dict=4				, _UpperCAmelCase   :						Union[str, Any]=[2, 2, 2, 2]				, _UpperCAmelCase   :						List[str]=[8, 4, 2, 1]				, _UpperCAmelCase   :						str=[32, 64, 160, 256]				, _UpperCAmelCase   :						Optional[int]=[7, 3, 3, 3]				, _UpperCAmelCase   :						int=[4, 2, 2, 2]				, _UpperCAmelCase   :						str=[1, 2, 5, 8]				, _UpperCAmelCase   :						Optional[int]=[4, 4, 4, 4]				, _UpperCAmelCase   :						List[Any]="gelu"				, _UpperCAmelCase   :						Optional[Any]=0.0				, _UpperCAmelCase   :						Dict=0.0				, _UpperCAmelCase   :						Dict=0.1				, _UpperCAmelCase   :						List[str]=0.02				, _UpperCAmelCase   :						str=0.1				, _UpperCAmelCase   :						Optional[Any]=1E-6				, _UpperCAmelCase   :						Optional[Any]=256				, _UpperCAmelCase   :						Any=255				, **_UpperCAmelCase   :						str				, )						->       Tuple:




							"""simple docstring"""


							super().__init__(**_UpperCAmelCase		)

							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."""				, _UpperCAmelCase				, )

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






class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			version.parse('''1.11'''							)

					@property
					def   lowerCamelCase__					(self   :						Optional[int]		)						->       Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


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

					@property
					def   lowerCamelCase__					(self   :						Optional[int]		)						->       float:




							"""simple docstring"""


							return 1E-4


					@property
					def   lowerCamelCase__					(self   :						Optional[Any]		)						->       int:




							"""simple docstring"""


							return 12

