





'''simple docstring'''

def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   int		,			_lowerCamelCase   :   list[list[int]]			):

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

        A__							=     update_area_of_max_square(_lowerCamelCase		,			col + 1			)
        A__							=     update_area_of_max_square(row + 1		,			col + 1			)
        A__							=     update_area_of_max_square(row + 1		,			_lowerCamelCase			)

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

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





def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   int		,			_lowerCamelCase   :   list[list[int]]			):

    def update_area_of_max_square_using_dp_array(
        _lowerCamelCase   :   int		,			_lowerCamelCase   :   int		,			_lowerCamelCase   :   list[list[int]]			) -> 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(_lowerCamelCase		,			col + 1		,			_lowerCamelCase			)
        A__							=     update_area_of_max_square_using_dp_array(row + 1		,			col + 1		,			_lowerCamelCase			)
        A__							=     update_area_of_max_square_using_dp_array(row + 1		,			_lowerCamelCase		,			_lowerCamelCase			)

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

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

    return largest_square_area[0]





def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   int		,			_lowerCamelCase   :   list[list[int]]			):
    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(_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)
                A__							=     max(dp_array[row][col]		,			_lowerCamelCase			)
            else:
                A__							=     0

    return largest_square_area





def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   int		,			_lowerCamelCase   :   list[list[int]]			):
    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(_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)
                A__							=     max(current_row[col]		,			_lowerCamelCase			)
            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]]))










'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


__lowerCAmelCase				:      Optional[Any]						      =logging.get_logger(__name__)

__lowerCAmelCase				:      str						      ={
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}






class   UpperCAmelCase      (			UpperCamelCase__							):
 __lowercase  						=							"""distilbert"""
 __lowercase  						=							{
     """hidden_size""": """dim""",
     """num_attention_heads""": """n_heads""",
     """num_hidden_layers""": """n_layers""",
 }
 def __init__(							self :Tuple		,			lowercase_ :List[str]=3_05_22		,			lowercase_ :Tuple=5_12		,			lowercase_ :List[str]=False		,			lowercase_ :int=6		,			lowercase_ :Optional[int]=12		,			lowercase_ :Optional[int]=7_68		,			lowercase_ :str=4 * 7_68		,			lowercase_ :List[Any]=0.1		,			lowercase_ :str=0.1		,			lowercase_ :Optional[int]="gelu"		,			lowercase_ :Optional[Any]=0.0_2		,			lowercase_ :Optional[Any]=0.1		,			lowercase_ :List[Any]=0.2		,			lowercase_ :str=0		,			**lowercase_ :Union[str, Any]		,			)->				str:
     A__							=     vocab_size
     A__							=     max_position_embeddings
     A__							=     sinusoidal_pos_embds
     A__							=     n_layers
     A__							=     n_heads
     A__							=     dim
     A__							=     hidden_dim
     A__							=     dropout
     A__							=     attention_dropout
     A__							=     activation
     A__							=     initializer_range
     A__							=     qa_dropout
     A__							=     seq_classif_dropout
     super().__init__(**lowercase_		,			pad_token_id=lowercase_				)






class   UpperCAmelCase      (			UpperCamelCase__							):
 @property
 def 	UpperCAmelCase_				(							self :List[str]				)->				Mapping[str, Mapping[int, str]]:
     if self.task == "multiple-choice":
         A__							=     {0: "batch", 1: "choice", 2: "sequence"}
     else:
         A__							=     {0: "batch", 1: "sequence"}
     return OrderedDict(
         [
             ("input_ids", dynamic_axis),
             ("attention_mask", dynamic_axis),
         ]				)



