
def 						UpperCAmelCase      (     a_		,       a_		,       a_						)		->     Optional[Any]:







    """simple docstring"""



    def update_area_of_max_square(a_		,       a_						) -> int:
        # BASE CASE
        if row >= rows or col >= cols:
            return 0

        __A             =			update_area_of_max_square(snake_case_		,       col + 1						)
        __A             =			update_area_of_max_square(row + 1		,       col + 1						)
        __A             =			update_area_of_max_square(row + 1		,       snake_case_						)

        if mat[row][col]:
            __A             =			1 + min([right, diagonal, down]						)
            __A             =			max(largest_square_area[0]		,       snake_case_						)
            return sub_problem_sol
        else:
            return 0

    __A             =			[0]
    update_area_of_max_square(0		,       0						)
    return largest_square_area[0]


def 						UpperCAmelCase      (     a_		,       a_		,       a_						)		->     Tuple:







    """simple docstring"""



    def update_area_of_max_square_using_dp_array(
        a_		,       a_		,       a_						) -> int:
        if row >= rows or col >= cols:
            return 0
        if dp_array[row][col] != -1:
            return dp_array[row][col]

        __A             =			update_area_of_max_square_using_dp_array(snake_case_		,       col + 1		,       snake_case_						)
        __A             =			update_area_of_max_square_using_dp_array(row + 1		,       col + 1		,       snake_case_						)
        __A             =			update_area_of_max_square_using_dp_array(row + 1		,       snake_case_		,       snake_case_						)

        if mat[row][col]:
            __A             =			1 + min([right, diagonal, down]						)
            __A             =			max(largest_square_area[0]		,       snake_case_						)
            __A             =			sub_problem_sol
            return sub_problem_sol
        else:
            return 0

    __A             =			[0]
    __A             =			[[-1] * cols for _ in range(snake_case_						)]
    update_area_of_max_square_using_dp_array(0		,       0		,       snake_case_						)

    return largest_square_area[0]


def 						UpperCAmelCase      (     a_		,       a_		,       a_						)		->     List[Any]:







    """simple docstring"""



    __A             =			[[0] * (cols + 1) for _ in range(rows + 1						)]
    __A             =			0
    for row in range(rows - 1		,       -1		,       -1						):
        for col in range(cols - 1		,       -1		,       -1						):
            __A             =			dp_array[row][col + 1]
            __A             =			dp_array[row + 1][col + 1]
            __A             =			dp_array[row + 1][col]

            if mat[row][col] == 1:
                __A             =			1 + min(snake_case_		,       snake_case_		,       snake_case_						)
                __A             =			max(dp_array[row][col]		,       snake_case_						)
            else:
                __A             =			0

    return largest_square_area


def 						UpperCAmelCase      (     a_		,       a_		,       a_						)		->     int:







    """simple docstring"""



    __A             =			[0] * (cols + 1)
    __A             =			[0] * (cols + 1)
    __A             =			0
    for row in range(rows - 1		,       -1		,       -1						):
        for col in range(cols - 1		,       -1		,       -1						):
            __A             =			current_row[col + 1]
            __A             =			next_row[col + 1]
            __A             =			next_row[col]

            if mat[row][col] == 1:
                __A             =			1 + min(snake_case_		,       snake_case_		,       snake_case_						)
                __A             =			max(current_row[col]		,       snake_case_						)
            else:
                __A             =			0
        __A             =			current_row

    return largest_square_area


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     print(largest_square_area_in_matrix_bottom_up(2, 2, [[1, 1], [1, 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=__SCREAMING_SNAKE_CASE  )
class 							UpperCAmelCase				(  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





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






	def     UpperCamelCase_  (	self :			Optional[Any]							,A :			Dict			):
					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.'''			)
					__A             =			copy.deepcopy(self			)
					__A             =			self.label_schema.copy()
					__A             =			features[self.label_column]
					__A             =			label_schema
					return task_template







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