





'''simple docstring'''

import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class     __lowerCAmelCase					(   _UpperCAmelCase						,						unittest.TestCase			):






       """simple docstring"""
       _snake_case     :					Dict						    =   FunnelTokenizer
       _snake_case     :					Union[str, Any]						    =   FunnelTokenizerFast
       _snake_case     :					Union[str, Any]						    =   True
       _snake_case     :					Tuple						    =   True





       def snake_case__						(							self       :		Optional[Any]					)   ->					Any:

            '''simple docstring'''




            super().setUp()

            _UpperCamelCase       =	[
                '''<unk>''',
                '''<cls>''',
                '''<sep>''',
                '''want''',
                '''##want''',
                '''##ed''',
                '''wa''',
                '''un''',
                '''runn''',
                '''##ing''',
                ''',''',
                '''low''',
                '''lowest''',
            ]
            _UpperCamelCase       =	os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['''vocab_file''']					)
            with open(self.vocab_file	,			'''w'''	,			encoding='''utf-8'''					) as vocab_writer:
                 vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]					)					)





       def snake_case__						(							self       :		Optional[int]	,			**lowerCAmelCase__       :		Dict					)   ->					Dict:

            '''simple docstring'''




            return FunnelTokenizer.from_pretrained(self.tmpdirname	,			**_UpperCAmelCase					)





       def snake_case__						(							self       :		List[str]	,			**lowerCAmelCase__       :		Union[str, Any]					)   ->					Optional[Any]:

            '''simple docstring'''




            return FunnelTokenizerFast.from_pretrained(self.tmpdirname	,			**_UpperCAmelCase					)





       def snake_case__						(							self       :		Optional[int]	,			lowerCAmelCase__       :		List[str]					)   ->					Any:

            '''simple docstring'''




            _UpperCamelCase       =	'''UNwant\u00E9d,running'''
            _UpperCamelCase       =	'''unwanted, running'''
            return input_text, output_text





       def snake_case__						(							self       :		Any					)   ->					List[Any]:

            '''simple docstring'''




            _UpperCamelCase       =	self.tokenizer_class(self.vocab_file					)

            _UpperCamelCase       =	tokenizer.tokenize('''UNwant\u00E9d,running'''					)
            self.assertListEqual(_UpperCAmelCase	,			['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']					)
            self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)	,			[7, 4, 5, 10, 8, 9]					)







       def snake_case__						(							self       :		Any					)   ->					str:

            '''simple docstring'''




            _UpperCamelCase       =	self.get_tokenizers(do_lower_case=_UpperCAmelCase					)
            for tokenizer in tokenizers:
                 _UpperCamelCase       =	tokenizer('''UNwant\u00E9d,running'''					)
                 _UpperCamelCase       =	len(inputs['''input_ids''']					) - 1
                 self.assertListEqual(inputs['''token_type_ids''']	,			[2] + [0] * sentence_len					)

                 _UpperCamelCase       =	tokenizer('''UNwant\u00E9d,running'''	,			'''UNwant\u00E9d,running'''					)
                 self.assertListEqual(inputs['''token_type_ids''']	,			[2] + [0] * sentence_len + [1] * sentence_len					)










'''simple docstring'''

def  a__    (    lowercase :					int, lowercase :					int, lowercase :					list[list[int]]				)		->		int:





     """simple docstring"""

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

          _UpperCamelCase       =	update_area_of_max_square(lowercase, col + 1				)
          _UpperCamelCase       =	update_area_of_max_square(row + 1, col + 1				)
          _UpperCamelCase       =	update_area_of_max_square(row + 1, lowercase				)

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

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







def  a__    (    lowercase :					int, lowercase :					int, lowercase :					list[list[int]]				)		->		int:





     """simple docstring"""

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

          _UpperCamelCase       =	update_area_of_max_square_using_dp_array(lowercase, col + 1, lowercase				)
          _UpperCamelCase       =	update_area_of_max_square_using_dp_array(row + 1, col + 1, lowercase				)
          _UpperCamelCase       =	update_area_of_max_square_using_dp_array(row + 1, lowercase, lowercase				)

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

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

     return largest_square_area[0]







def  a__    (    lowercase :					int, lowercase :					int, lowercase :					list[list[int]]				)		->		int:





     """simple docstring"""

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

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

     return largest_square_area







def  a__    (    lowercase :					int, lowercase :					int, lowercase :					list[list[int]]				)		->		int:





     """simple docstring"""

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

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



