'''simple docstring'''




def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__    )     ->   int:

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

        __lowerCamelCase          =  update_area_of_max_square(UpperCamelCase__    ,  col + 1    )
        __lowerCamelCase          =  update_area_of_max_square(row + 1    ,  col + 1    )
        __lowerCamelCase          =  update_area_of_max_square(row + 1    ,  UpperCamelCase__    )

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

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






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__    )     ->   int:

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

        __lowerCamelCase          =  update_area_of_max_square_using_dp_array(UpperCamelCase__    ,  col + 1    ,  UpperCamelCase__    )
        __lowerCamelCase          =  update_area_of_max_square_using_dp_array(row + 1    ,  col + 1    ,  UpperCamelCase__    )
        __lowerCamelCase          =  update_area_of_max_square_using_dp_array(row + 1    ,  UpperCamelCase__    ,  UpperCamelCase__    )

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

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

    return largest_square_area[0]






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__    )     ->   int:
    __lowerCamelCase          =  [[0] * (cols + 1) for _ in range(rows + 1    )]
    __lowerCamelCase          =  0
    for row in range(rows - 1    ,  -1    ,  -1    ):
        for col in range(cols - 1    ,  -1    ,  -1    ):
            __lowerCamelCase          =  dp_array[row][col + 1]
            __lowerCamelCase          =  dp_array[row + 1][col + 1]
            __lowerCamelCase          =  dp_array[row + 1][col]

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

    return largest_square_area






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__    )     ->   int:
    __lowerCamelCase          =  [0] * (cols + 1)
    __lowerCamelCase          =  [0] * (cols + 1)
    __lowerCamelCase          =  0
    for row in range(rows - 1    ,  -1    ,  -1    ):
        for col in range(cols - 1    ,  -1    ,  -1    ):
            __lowerCamelCase          =  current_row[col + 1]
            __lowerCamelCase          =  next_row[col + 1]
            __lowerCamelCase          =  next_row[col]

            if mat[row][col] == 1:
                __lowerCamelCase          =  1 + min(UpperCamelCase__    ,  UpperCamelCase__    ,  UpperCamelCase__    )
                __lowerCamelCase          =  max(current_row[col]    ,  UpperCamelCase__    )
            else:
                __lowerCamelCase          =  0
        __lowerCamelCase          =  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'''




import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
  import torch

  from transformers.generation import (
      MaxLengthCriteria,
      MaxNewTokensCriteria,
      MaxTimeCriteria,
      StoppingCriteriaList,
      validate_stopping_criteria,
  )




@require_torch
class    a__				(       unittest.TestCase			):






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]  ,    a		:		int   ):





         """simple docstring"""



         __lowerCamelCase          =  3
         __lowerCamelCase          =  2_50

         __lowerCamelCase          =  ids_tensor((batch_size, length)  ,    a   )
         __lowerCamelCase          =  torch.ones((batch_size, length)  ,    device=a  ,    dtype=torch.float   ) / length
         return input_ids, scores






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(5   )

         __lowerCamelCase          =  StoppingCriteriaList(
             [
                 MaxLengthCriteria(max_length=10   ),
                 MaxTimeCriteria(max_time=0.1   ),
             ]   )

         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(9   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(10   )
         self.assertTrue(criteria(a  ,    a   )   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Union[str, Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  MaxLengthCriteria(max_length=10   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(5   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(9   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(10   )
         self.assertTrue(criteria(a  ,    a   )   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  MaxNewTokensCriteria(start_length=5  ,    max_new_tokens=5   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(5   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(9   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(10   )
         self.assertTrue(criteria(a  ,    a   )   )

         __lowerCamelCase          =  StoppingCriteriaList([criteria]   )
         self.assertEqual(criteria_list.max_length  ,    10   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		int   ):





         """simple docstring"""



         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(5   )

         __lowerCamelCase          =  MaxTimeCriteria(max_time=0.1   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase          =  MaxTimeCriteria(max_time=0.1  ,    initial_timestamp=time.time() - 0.2   )
         self.assertTrue(criteria(a  ,    a   )   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   )  ,    10   )

         with self.assertWarns(a   ):
             validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   )  ,    11   )

         __lowerCamelCase          =  validate_stopping_criteria(StoppingCriteriaList()  ,    11   )

         self.assertEqual(len(a   )  ,    1   )
