"""simple docstring"""





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



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    List[Any]:
							if not head or not head.next:
														return True

							# 1. Get the midpoint (slow)
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    head
							while fast and fast.next:
														_SCREAMING_SNAKE_CASE  ,				_SCREAMING_SNAKE_CASE		:						Tuple			  =    fast.next.next, slow.next

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

							# 3. Comparison
							while stack:
														if stack.pop() != cur.val:
																					return False
														_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    cur.next

							return True



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



"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase_     =	{
    '''configuration_clipseg''': [
        '''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPSegConfig''',
        '''CLIPSegTextConfig''',
        '''CLIPSegVisionConfig''',
    ],
    '''processing_clipseg''': ['''CLIPSegProcessor'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase_     =	[
			    '''CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''CLIPSegModel''',
			    '''CLIPSegPreTrainedModel''',
			    '''CLIPSegTextModel''',
			    '''CLIPSegVisionModel''',
			    '''CLIPSegForImageSegmentation''',
			]

if TYPE_CHECKING:
			from .configuration_clipseg import (
			    CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    CLIPSegConfig,
			    CLIPSegTextConfig,
			    CLIPSegVisionConfig,
			)
			from .processing_clipseg import CLIPSegProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_clipseg import (
						    CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
						    CLIPSegForImageSegmentation,
						    CLIPSegModel,
						    CLIPSegPreTrainedModel,
						    CLIPSegTextModel,
						    CLIPSegVisionModel,
						)

else:
			import sys

			lowerCAmelCase_     =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


