






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


__UpperCAmelCase								=						logging.get_logger(__name__)

__UpperCAmelCase								=						{
    '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   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



		_snake_case    :    str       						=  '''segformer'''



		def __init__(							self				,		_UpperCamelCase=3				,		_UpperCamelCase=4				,		_UpperCamelCase=[2, 2, 2, 2]				,		_UpperCamelCase=[8, 4, 2, 1]				,		_UpperCamelCase=[3_2, 6_4, 1_6_0, 2_5_6]				,		_UpperCamelCase=[7, 3, 3, 3]				,		_UpperCamelCase=[4, 2, 2, 2]				,		_UpperCamelCase=[1, 2, 5, 8]				,		_UpperCamelCase=[4, 4, 4, 4]				,		_UpperCamelCase="gelu"				,		_UpperCamelCase=0.0				,		_UpperCamelCase=0.0				,		_UpperCamelCase=0.1				,		_UpperCamelCase=0.02				,		_UpperCamelCase=0.1				,		_UpperCamelCase=1E-6				,		_UpperCamelCase=2_5_6				,		_UpperCamelCase=2_5_5				,		**_UpperCamelCase				,		)	->							List[Any]:
							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				,		)

							UpperCAmelCase_    :      str            =						num_channels
							UpperCAmelCase_    :      List[Any]            =						num_encoder_blocks
							UpperCAmelCase_    :      str            =						depths
							UpperCAmelCase_    :      List[Any]            =						sr_ratios
							UpperCAmelCase_    :      List[str]            =						hidden_sizes
							UpperCAmelCase_    :      List[str]            =						patch_sizes
							UpperCAmelCase_    :      Dict            =						strides
							UpperCAmelCase_    :      Dict            =						mlp_ratios
							UpperCAmelCase_    :      List[Any]            =						num_attention_heads
							UpperCAmelCase_    :      str            =						hidden_act
							UpperCAmelCase_    :      List[str]            =						hidden_dropout_prob
							UpperCAmelCase_    :      Optional[int]            =						attention_probs_dropout_prob
							UpperCAmelCase_    :      Optional[int]            =						classifier_dropout_prob
							UpperCAmelCase_    :      Tuple            =						initializer_range
							UpperCAmelCase_    :      List[str]            =						drop_path_rate
							UpperCAmelCase_    :      Union[str, Any]            =						layer_norm_eps
							UpperCAmelCase_    :      int            =						decoder_hidden_size
							UpperCAmelCase_    :      Optional[Any]            =						kwargs.get('reshape_last_stage'				,		_UpperCamelCase   )
							UpperCAmelCase_    :      List[str]            =						semantic_loss_ignore_index





class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



		_snake_case    :    Any       						=  version.parse('''1.11'''			)



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



		@property
		def 					__UpperCAmelCase			(							self   )	->							float:
							return 1E-4



		@property
		def 					__UpperCAmelCase			(							self   )	->							int:
							return 1_2














def      lowercase__      (     __snake_case    :							Dict  ):


					'''simple docstring'''


					if not head:
										return True
					# split the list to two parts
					UpperCAmelCase_       ,  UpperCAmelCase_    :      Any            =						head.next, head
					while fast and fast.next:
										UpperCAmelCase_    :      str            =						fast.next.next
										UpperCAmelCase_    :      Union[str, Any]            =						slow.next
					UpperCAmelCase_    :      int            =						slow.next
					UpperCAmelCase_    :      List[Any]            =						None  # Don't forget here! But forget still works!
					# reverse the second part
					UpperCAmelCase_    :      Tuple            =						None
					while second:
										UpperCAmelCase_    :      int            =						second.next
										UpperCAmelCase_    :      Any            =						node
										UpperCAmelCase_    :      Optional[Any]            =						second
										UpperCAmelCase_    :      Tuple            =						nxt
					# compare two parts
					# second part has the same or one less node
					while node:
										if node.val != head.val:
															return False
										UpperCAmelCase_    :      Optional[Any]            =						node.next
										UpperCAmelCase_    :      Dict            =						head.next
					return True




def      lowercase__      (     __snake_case    :							Union[str, Any]  ):


					'''simple docstring'''


					if not head or not head.next:
										return True

					# 1. Get the midpoint (slow)
					UpperCAmelCase_    :      Any            =						head
					while fast and fast.next:
										UpperCAmelCase_       ,  UpperCAmelCase_    :      Tuple            =						fast.next.next, slow.next

					# 2. Push the second half into the stack
					UpperCAmelCase_    :      List[str]            =						[slow.val]
					while slow.next:
										UpperCAmelCase_    :      List[str]            =						slow.next
										stack.append(slow.val  )

					# 3. Comparison
					while stack:
										if stack.pop() != cur.val:
															return False
										UpperCAmelCase_    :      int            =						cur.next

					return True






def      lowercase__      (     __snake_case    :							Dict  ):


					'''simple docstring'''


					if not head or not head.next:
										return True
					UpperCAmelCase_    :      Tuple            =						{}
					UpperCAmelCase_    :      int            =						0
					while head:
										if head.val in d:
															d[head.val].append(__snake_case  )
										else:
															UpperCAmelCase_    :      List[Any]            =						[pos]
										UpperCAmelCase_    :      Any            =						head.next
										pos += 1
					UpperCAmelCase_    :      Dict            =						pos - 1
					UpperCAmelCase_    :      Optional[int]            =						0
					for v in d.values():
										if len(__snake_case  ) % 2 != 0:
															middle += 1
										else:
															UpperCAmelCase_    :      int            =						0
															for i in range(0     ,       len(__snake_case  )  ):
																				if v[i] + v[len(__snake_case  ) - 1 - step] != checksum:
																									return False
																				step += 1
										if middle > 1:
															return False
					return True






