






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__				   =		logging.get_logger(__name__)

UpperCAmelCase__				   =		{
    "microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
    "microsoft/markuplm-large": "https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json",
}






class 		lowercase_					(	lowercase   ):






      '''simple docstring'''




      __snake_case       =  '''markuplm'''







      def __init__(      self      :						Union[str, Any] ,					__UpperCAmelCase      :						int=30_522 ,					__UpperCAmelCase      :						Optional[Any]=768 ,					__UpperCAmelCase      :						List[str]=12 ,					__UpperCAmelCase      :						Dict=12 ,					__UpperCAmelCase      :						Tuple=3_072 ,					__UpperCAmelCase      :						Optional[Any]="gelu" ,					__UpperCAmelCase      :						List[Any]=0.1 ,					__UpperCAmelCase      :						int=0.1 ,					__UpperCAmelCase      :						str=512 ,					__UpperCAmelCase      :						Union[str, Any]=2 ,					__UpperCAmelCase      :						Tuple=0.02 ,					__UpperCAmelCase      :						Dict=1e-1_2 ,					__UpperCAmelCase      :						int=0 ,					__UpperCAmelCase      :						List[str]=0 ,					__UpperCAmelCase      :						Optional[Any]=2 ,					__UpperCAmelCase      :						List[Any]=256 ,					__UpperCAmelCase      :						Dict=1_024 ,					__UpperCAmelCase      :						Optional[int]=216 ,					__UpperCAmelCase      :						str=1_001 ,					__UpperCAmelCase      :						int=32 ,					__UpperCAmelCase      :						Union[str, Any]=50 ,					__UpperCAmelCase      :						Any="absolute" ,					__UpperCAmelCase      :						Any=True ,					__UpperCAmelCase      :						List[str]=None ,					**__UpperCAmelCase      :						Union[str, Any] ,					)    ->str:




       """simple docstring"""


       super().__init__(
           pad_token_id=__UpperCAmelCase ,					bos_token_id=__UpperCAmelCase ,					eos_token_id=__UpperCAmelCase ,					**__UpperCAmelCase ,					)
       a		  =      vocab_size
       a		  =      hidden_size
       a		  =      num_hidden_layers
       a		  =      num_attention_heads
       a		  =      hidden_act
       a		  =      intermediate_size
       a		  =      hidden_dropout_prob
       a		  =      attention_probs_dropout_prob
       a		  =      max_position_embeddings
       a		  =      type_vocab_size
       a		  =      initializer_range
       a		  =      layer_norm_eps
       a		  =      position_embedding_type
       a		  =      use_cache
       a		  =      classifier_dropout
       # additional properties
       a		  =      max_depth
       a		  =      max_xpath_tag_unit_embeddings
       a		  =      max_xpath_subs_unit_embeddings
       a		  =      tag_pad_id
       a		  =      subs_pad_id
       a		  =      xpath_unit_hidden_size










from __future__ import annotations

UpperCAmelCase__				   =		list[list[int]]

# assigning initial values to the grid
UpperCAmelCase__				   =		[
    [3, 0, 6, 5, 0, 8, 4, 0, 0],
    [5, 2, 0, 0, 0, 0, 0, 0, 0],
    [0, 8, 7, 0, 0, 0, 0, 3, 1],
    [0, 0, 3, 0, 1, 0, 0, 8, 0],
    [9, 0, 0, 8, 6, 3, 0, 0, 5],
    [0, 5, 0, 0, 9, 0, 6, 0, 0],
    [1, 3, 0, 0, 0, 0, 2, 5, 0],
    [0, 0, 0, 0, 0, 0, 0, 7, 4],
    [0, 0, 5, 2, 0, 6, 3, 0, 0],
]

# a grid with no solution
UpperCAmelCase__				   =		[
    [5, 0, 6, 5, 0, 8, 4, 0, 3],
    [5, 2, 0, 0, 0, 0, 0, 0, 2],
    [1, 8, 7, 0, 0, 0, 0, 3, 1],
    [0, 0, 3, 0, 1, 0, 0, 8, 0],
    [9, 0, 0, 8, 6, 3, 0, 0, 5],
    [0, 5, 0, 0, 9, 0, 6, 0, 0],
    [1, 3, 0, 0, 0, 0, 2, 5, 0],
    [0, 0, 0, 0, 0, 0, 0, 7, 4],
    [0, 0, 5, 2, 0, 6, 3, 0, 0],
]
def 						_a    (      a :Matrix	,							a :int	,							a :int	,							a :int )							->			bool:
 for i in range(9 ):
  if grid[row][i] == n or grid[i][column] == n:
   return False

 for i in range(3 ):
  for j in range(3 ):
   if grid[(row - row % 3) + i][(column - column % 3) + j] == n:
    return False

 return True
def 						_a    (      a :Matrix )							->			tuple[int, int] | None:
 for i in range(9 ):
  for j in range(9 ):
   if grid[i][j] == 0:
    return i, j
 return None
def 						_a    (      a :Matrix )							->			Matrix | None:
 if location := find_empty_location(a ):
  a  ,     a		  =      location
 else:
  # If the location is ``None``, then the grid is solved.
  return grid

 for digit in range(1	,							10 ):
  if is_safe(a	,							a	,							a	,							a ):
   a		  =      digit

   if sudoku(a ) is not None:
    return grid

   a		  =      0

 return None
def 						_a    (      a :Matrix )							->			None:
 for row in grid:
  for cell in row:
   print(a	,							end=''' ''' )
  print()


if __name__ == "__main__":
     # make a copy of grid so that you can compare with the unmodified grid
     for example_grid in (initial_grid, no_solution):
          print("\nExample grid:\n" + "=" * 20)
          print_solution(example_grid)
          print("\nExample grid solution:")
          UpperCAmelCase__				   =		sudoku(example_grid)
          if solution is not None:
               print_solution(solution)
          else:
               print("Cannot find a solution.")


