




"""simple docstring"""







def 							lowercase					(snake_case__   : Any )     ->  Any:


				'''simple docstring'''






				if not head:
								return True
				# split the list to two parts
				lowerCAmelCase ,						lowerCAmelCase  =				head.next, head
				while fast and fast.next:
								lowerCAmelCase  =				fast.next.next
								lowerCAmelCase  =				slow.next
				lowerCAmelCase  =				slow.next
				lowerCAmelCase  =				None  # Don't forget here! But forget still works!
				# reverse the second part
				lowerCAmelCase  =				None
				while second:
								lowerCAmelCase  =				second.next
								lowerCAmelCase  =				node
								lowerCAmelCase  =				second
								lowerCAmelCase  =				nxt
				# compare two parts
				# second part has the same or one less node
				while node:
								if node.val != head.val:
												return False
								lowerCAmelCase  =				node.next
								lowerCAmelCase  =				head.next
				return True





def 							lowercase					(snake_case__   : Tuple )     ->  Dict:


				'''simple docstring'''






				if not head or not head.next:
								return True

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

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

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

				return True






def 							lowercase					(snake_case__   : Dict )     ->  Union[str, Any]:


				'''simple docstring'''






				if not head or not head.next:
								return True
				lowerCAmelCase  =				{}
				lowerCAmelCase  =				0
				while head:
								if head.val in d:
												d[head.val].append(snake_case__ )
								else:
												lowerCAmelCase  =				[pos]
								lowerCAmelCase  =				head.next
								pos += 1
				lowerCAmelCase  =				pos - 1
				lowerCAmelCase  =				0
				for v in d.values():
								if len(snake_case__ ) % 2 != 0:
												middle += 1
								else:
												lowerCAmelCase  =				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











"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


a      =							{
    'configuration_biogpt': ['BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BioGptConfig'],
    'tokenization_biogpt': ['BioGptTokenizer'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a      =							[
		    'BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'BioGptForCausalLM',
		    'BioGptForTokenClassification',
		    'BioGptForSequenceClassification',
		    'BioGptModel',
		    'BioGptPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
		from .tokenization_biogpt import BioGptTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_biogpt import (
				    BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BioGptForCausalLM,
				    BioGptForSequenceClassification,
				    BioGptForTokenClassification,
				    BioGptModel,
				    BioGptPreTrainedModel,
				)


else:
		import sys

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





