






def 				snake_case__							(							UpperCAmelCase							:  int    ,			UpperCAmelCase							:  int    ,			UpperCAmelCase							:  list[list[int]]       ):

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

        lowerCAmelCase__   :Tuple      							=				update_area_of_max_square(UpperCAmelCase    ,			col + 1       )
        lowerCAmelCase__   :Tuple      							=				update_area_of_max_square(row + 1    ,			col + 1       )
        lowerCAmelCase__   :List[str]      							=				update_area_of_max_square(row + 1    ,			UpperCAmelCase       )

        if mat[row][col]:
            lowerCAmelCase__   :Dict      							=				1 + min([right, diagonal, down]       )
            lowerCAmelCase__   :List[str]      							=				max(largest_square_area[0]    ,			UpperCAmelCase       )
            return sub_problem_sol
        else:
            return 0

    lowerCAmelCase__   :List[Any]      							=				[0]
    update_area_of_max_square(0    ,			0       )
    return largest_square_area[0]


def 				snake_case__							(							UpperCAmelCase							:  int    ,			UpperCAmelCase							:  int    ,			UpperCAmelCase							:  list[list[int]]       ):

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

        lowerCAmelCase__   :Tuple      							=				update_area_of_max_square_using_dp_array(UpperCAmelCase    ,			col + 1    ,			UpperCAmelCase       )
        lowerCAmelCase__   :Any      							=				update_area_of_max_square_using_dp_array(row + 1    ,			col + 1    ,			UpperCAmelCase       )
        lowerCAmelCase__   :Optional[int]      							=				update_area_of_max_square_using_dp_array(row + 1    ,			UpperCAmelCase    ,			UpperCAmelCase       )

        if mat[row][col]:
            lowerCAmelCase__   :Optional[int]      							=				1 + min([right, diagonal, down]       )
            lowerCAmelCase__   :str      							=				max(largest_square_area[0]    ,			UpperCAmelCase       )
            lowerCAmelCase__   :str      							=				sub_problem_sol
            return sub_problem_sol
        else:
            return 0

    lowerCAmelCase__   :List[str]      							=				[0]
    lowerCAmelCase__   :Tuple      							=				[[-1] * cols for _ in range(UpperCAmelCase       )]
    update_area_of_max_square_using_dp_array(0    ,			0    ,			UpperCAmelCase       )

    return largest_square_area[0]


def 				snake_case__							(							UpperCAmelCase							:  int    ,			UpperCAmelCase							:  int    ,			UpperCAmelCase							:  list[list[int]]       ):
    lowerCAmelCase__   :Union[str, Any]      							=				[[0] * (cols + 1) for _ in range(rows + 1       )]
    lowerCAmelCase__   :Union[str, Any]      							=				0
    for row in range(rows - 1    ,			-1    ,			-1       ):
        for col in range(cols - 1    ,			-1    ,			-1       ):
            lowerCAmelCase__   :List[str]      							=				dp_array[row][col + 1]
            lowerCAmelCase__   :Optional[Any]      							=				dp_array[row + 1][col + 1]
            lowerCAmelCase__   :Optional[int]      							=				dp_array[row + 1][col]

            if mat[row][col] == 1:
                lowerCAmelCase__   :List[str]      							=				1 + min(UpperCAmelCase    ,			UpperCAmelCase    ,			UpperCAmelCase       )
                lowerCAmelCase__   :Tuple      							=				max(dp_array[row][col]    ,			UpperCAmelCase       )
            else:
                lowerCAmelCase__   :Optional[Any]      							=				0

    return largest_square_area


def 				snake_case__							(							UpperCAmelCase							:  int    ,			UpperCAmelCase							:  int    ,			UpperCAmelCase							:  list[list[int]]       ):
    lowerCAmelCase__   :Tuple      							=				[0] * (cols + 1)
    lowerCAmelCase__   :int      							=				[0] * (cols + 1)
    lowerCAmelCase__   :int      							=				0
    for row in range(rows - 1    ,			-1    ,			-1       ):
        for col in range(cols - 1    ,			-1    ,			-1       ):
            lowerCAmelCase__   :Optional[int]      							=				current_row[col + 1]
            lowerCAmelCase__   :Tuple      							=				next_row[col + 1]
            lowerCAmelCase__   :Dict      							=				next_row[col]

            if mat[row][col] == 1:
                lowerCAmelCase__   :List[str]      							=				1 + min(UpperCAmelCase    ,			UpperCAmelCase    ,			UpperCAmelCase       )
                lowerCAmelCase__   :Optional[int]      							=				max(current_row[col]    ,			UpperCAmelCase       )
            else:
                lowerCAmelCase__   :Optional[Any]      							=				0
        lowerCAmelCase__   :Tuple      							=				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]]))











from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_a    :   Tuple        =			logging.get_logger(__name__)

_a    :   Optional[int]        =			{
    """facebook/levit-128S""": """https://huggingface.co/facebook/levit-128S/resolve/main/config.json""",
    # See all LeViT models at https://huggingface.co/models?filter=levit
}







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      A          =    '''levit'''
      def __init__(   self    ,	_lowerCAmelCase=224    ,	_lowerCAmelCase=3    ,	_lowerCAmelCase=3    ,	_lowerCAmelCase=2    ,	_lowerCAmelCase=1    ,	_lowerCAmelCase=16    ,	_lowerCAmelCase=[128, 256, 384]    ,	_lowerCAmelCase=[4, 8, 12]    ,	_lowerCAmelCase=[4, 4, 4]    ,	_lowerCAmelCase=[16, 16, 16]    ,	_lowerCAmelCase=0    ,	_lowerCAmelCase=[2, 2, 2]    ,	_lowerCAmelCase=[2, 2, 2]    ,	_lowerCAmelCase=0.02    ,	**_lowerCAmelCase    ,	):



          '''simple docstring'''
          super().__init__(**_lowerCAmelCase		)
          lowerCAmelCase__   :List[str]      							=				image_size
          lowerCAmelCase__   :Dict      							=				num_channels
          lowerCAmelCase__   :List[Any]      							=				kernel_size
          lowerCAmelCase__   :List[Any]      							=				stride
          lowerCAmelCase__   :Tuple      							=				padding
          lowerCAmelCase__   :str      							=				hidden_sizes
          lowerCAmelCase__   :Union[str, Any]      							=				num_attention_heads
          lowerCAmelCase__   :Optional[int]      							=				depths
          lowerCAmelCase__   :Union[str, Any]      							=				key_dim
          lowerCAmelCase__   :str      							=				drop_path_rate
          lowerCAmelCase__   :int      							=				patch_size
          lowerCAmelCase__   :Dict      							=				attention_ratio
          lowerCAmelCase__   :Dict      							=				mlp_ratio
          lowerCAmelCase__   :Optional[int]      							=				initializer_range
          lowerCAmelCase__   :Tuple      							=				[
              ["Subsample", key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
              ["Subsample", key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
          ]







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      A          =    version.parse('''1.11'''		)
      @property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return OrderedDict(
              [
                  ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
              ]		)



      @property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return 1e-4



