






from __future__ import annotations







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							Optional[Any]     ):  # This function is recursive
	snake_case__				:   List[str]     =						len(_UpperCAmelCase     )
	# If the array contains only one element, we return it (it's the stop condition of
	# recursion)
	if array_length <= 1:
		return array
		# Else
	snake_case__				:   str     =						array[0]
	snake_case__				:   int     =						False
	snake_case__				:   Dict     =						1
	snake_case__				:   List[Any]     =						[]
	while not is_found and i < array_length:
		if array[i] < pivot:
			snake_case__				:   List[Any]     =						True
			snake_case__				:   Optional[int]     =						[element for element in array[i:] if element >= array[i]]
			snake_case__				:   Dict     =						longest_subsequence(_UpperCAmelCase     )
			if len(_UpperCAmelCase     ) > len(_UpperCAmelCase     ):
				snake_case__				:   Optional[Any]     =						temp_array
		else:
			i += 1

	snake_case__				:   Dict     =						[element for element in array[1:] if element >= pivot]
	snake_case__				:   List[str]     =						[pivot, *longest_subsequence(_UpperCAmelCase     )]
	if len(_UpperCAmelCase     ) > len(_UpperCAmelCase     ):
		return temp_array
	else:
		return longest_subseq


if __name__ == "__main__":
							import doctest

							doctest.testmod()











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 							SCREAMING_SNAKE_CASE__		(       UpperCamelCase_		):





					"""simple docstring"""






					a_			=	field(default="text-classification"				,     metadata={"include_in_asdict_even_if_is_default": True}		)
					a_			=	Features({"text": Value("string"		)}		)
					a_			=	Features({"labels": ClassLabel}		)
					a_			=	"text"
					a_			=	"labels"



					def  _lowercase  (      self  :						Tuple							,	__A  :						List[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]							,	__A ):
							raise ValueError(f'''Column {self.label_column} is not a ClassLabel.''' )
						snake_case__				:   Any     =						copy.deepcopy(self )
						snake_case__				:   Optional[Any]     =						self.label_schema.copy()
						snake_case__				:   List[str]     =						features[self.label_column]
						snake_case__				:   Dict     =						label_schema
						return task_template






					@property
					def  _lowercase  (      self  :						Tuple ):
						return {
						    self.text_column: "text",
						    self.label_column: "labels",
						}



