


'''simple docstring'''







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





def 		_UpperCAmelCase   (							__A							:   str      ):
				if not head or not head.next:
								return True

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

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

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

				return True





def 		_UpperCAmelCase   (							__A							:   Optional[int]      ):
				if not head or not head.next:
								return True
				a_		:  int											=      {}
				a_		:  Optional[int]											=      0
				while head:
								if head.val in d:
												d[head.val].append(snake_case_      )
								else:
												a_		:  List[Any]											=      [pos]
								a_		:  int											=      head.next
								pos += 1
				a_		:  Tuple											=      pos - 1
				a_		:  str											=      0
				for v in d.values():
								if len(snake_case_      ) % 2 != 0:
												middle += 1
								else:
												a_		:  Dict											=      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'''







import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate





@dataclass(frozen=SCREAMING_SNAKE_CASE_       )
class 	SCREAMING_SNAKE_CASE					(					SCREAMING_SNAKE_CASE_       ):
			snake_case__  =				field(default="image-classification"	,   metadata={"include_in_asdict_even_if_is_default": True}       )
			snake_case__  =				Features({"image": Image()}       )
			snake_case__  =				Features({"labels": ClassLabel}       )
			snake_case__  =				"image"
			snake_case__  =				"labels"






			def 			SCREAMING_SNAKE_CASE      ( self      :			List[str]  ,						__SCREAMING_SNAKE_CASE      :			List[Any]					)			->			Any:
							if self.label_column not in features:
											raise ValueError(f'Column {self.label_column} is not present in features.'					)
							if not isinstance(features[self.label_column]  ,						__SCREAMING_SNAKE_CASE					):
											raise ValueError(f'Column {self.label_column} is not a ClassLabel.'					)
							a_		:  Optional[int]											=      copy.deepcopy(self					)
							a_		:  int											=      self.label_schema.copy()
							a_		:  Tuple											=      features[self.label_column]
							a_		:  str											=      label_schema
							return task_template







			@property
			def 			SCREAMING_SNAKE_CASE      ( self      :			Tuple					)			->			Dict[str, str]:
							return {
							    self.image_column: "image",
							    self.label_column: "labels",
							}




