
'''simple docstring'''







import operator





def    UpperCAmelCase_						(__a :       list					,      __a :       bool = False					,      __a :       list | None = None					):






   """simple docstring"""

   _a							:      Tuple     =  operator.lt if reverse else operator.gt
   _a							:      Optional[int]     =  solution or []

   if not arr:
      return solution

   _a							:      Any     =  [arr.pop(0					)]
   for i, item in enumerate(UpperCamelCase__					):
      if _operator(UpperCamelCase__					,      sublist[-1]					):
         sublist.append(UpperCamelCase__					)
         arr.pop(UpperCamelCase__					)

    #  merging sublist into solution list
   if not solution:
      solution.extend(UpperCamelCase__					)
   else:
      while sublist:
         _a							:      List[str]     =  sublist.pop(0					)
         for i, xx in enumerate(UpperCamelCase__					):
            if not _operator(UpperCamelCase__					,      UpperCamelCase__					):
               solution.insert(UpperCamelCase__					,      UpperCamelCase__					)
               break
         else:
            solution.append(UpperCamelCase__					)

   strand_sort(UpperCamelCase__					,      UpperCamelCase__					,      UpperCamelCase__					)
   return solution


if __name__ == "__main__":
  assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
  assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]










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

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




@dataclass(frozen=UpperCamelCase__     )
class 	UpperCamelCase_							(  UpperCamelCase__     ):
							# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
							lowerCamelCase_							     =       field(default="text-classification"					,	metadata={"include_in_asdict_even_if_is_default": True}     )
							lowerCamelCase_							     =       Features({"text": Value("string"     )}     )
							lowerCamelCase_							     =       Features({"labels": ClassLabel}     )
							lowerCamelCase_							     =       "text"
							lowerCamelCase_							     =       "labels"


							def   _snake_case	(				self     :Any				,					__A     :Dict		) -> Optional[Any]:



									"""simple docstring"""



									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]				,					__A		):
											raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''		)
									SCREAMING_SNAKE_CASE__								=   copy.deepcopy(self		)
									SCREAMING_SNAKE_CASE__								=   self.label_schema.copy()
									SCREAMING_SNAKE_CASE__								=   features[self.label_column]
									SCREAMING_SNAKE_CASE__								=   label_schema
									return task_template


							@property
							def   _snake_case	(				self     :str		) -> Dict[str, str]:



									"""simple docstring"""



									return {
									    self.text_column: "text",
									    self.label_column: "labels",
									}