

"""simple docstring"""






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


snake_case_   :   List[str]        =       logging.get_logger(__name__)

snake_case_   :   Optional[int]        =       {
    "s-JoL/Open-Llama-V1": "https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json",
}







class       snake_case__  ( lowerCAmelCase_     ):
   SCREAMING_SNAKE_CASE__     				=						'''open-llama'''







   def __init__(			self			: List[Any]			,  lowercase			: Any=10_00_00			,  lowercase			: Union[str, Any]=40_96			,  lowercase			: int=1_10_08			,  lowercase			: Any=32			,  lowercase			: int=32			,  lowercase			: Union[str, Any]="silu"			,  lowercase			: List[str]=20_48			,  lowercase			: List[Any]=0.0_2			,  lowercase			: Dict=1E-6			,  lowercase			: int=True			,  lowercase			: Tuple=0			,  lowercase			: Tuple=1			,  lowercase			: Tuple=2			,  lowercase			: List[str]=False			,  lowercase			: Optional[Any]=True			,  lowercase			: int=0.1			,  lowercase			: str=0.1			,  lowercase			: Optional[int]=True			,  lowercase			: Optional[int]=True			,  lowercase			: int=None			,  **lowercase			: str			,  ):





        '''simple docstring'''



        UpperCAmelCase			:   Optional[Any]      =				vocab_size
        UpperCAmelCase			:   Optional[Any]      =				max_position_embeddings
        UpperCAmelCase			:   Union[str, Any]      =				hidden_size
        UpperCAmelCase			:   Any      =				intermediate_size
        UpperCAmelCase			:   List[str]      =				num_hidden_layers
        UpperCAmelCase			:   Any      =				num_attention_heads
        UpperCAmelCase			:   Union[str, Any]      =				hidden_act
        UpperCAmelCase			:   Optional[Any]      =				initializer_range
        UpperCAmelCase			:   Any      =				rms_norm_eps
        UpperCAmelCase			:   Tuple      =				use_cache
        UpperCAmelCase			:   int      =				kwargs.pop(
            "use_memorry_efficient_attention"			,  UpperCAmelCase__  )
        UpperCAmelCase			:   Optional[Any]      =				hidden_dropout_prob
        UpperCAmelCase			:   Optional[Any]      =				attention_dropout_prob
        UpperCAmelCase			:   int      =				use_stable_embedding
        UpperCAmelCase			:   Tuple      =				shared_input_output_embedding
        UpperCAmelCase			:   List[Any]      =				rope_scaling
        self._rope_scaling_validation()

        super().__init__(
            pad_token_id=UpperCAmelCase__			,  bos_token_id=UpperCAmelCase__			,  eos_token_id=UpperCAmelCase__			,  tie_word_embeddings=UpperCAmelCase__			,  **UpperCAmelCase__			,  )







   def 			__lowerCAmelCase				(			self			: str  ):





        '''simple docstring'''



        if self.rope_scaling is None:
             return

        if not isinstance(self.rope_scaling			,  UpperCAmelCase__  ) or len(self.rope_scaling  ) != 2:
             raise ValueError(
                 "`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, "
                 f"""got {self.rope_scaling}"""  )
        UpperCAmelCase			:   List[str]      =				self.rope_scaling.get("type"			,  UpperCAmelCase__  )
        UpperCAmelCase			:   List[str]      =				self.rope_scaling.get("factor"			,  UpperCAmelCase__  )
        if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
             raise ValueError(
                 f"""`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"""  )
        if rope_scaling_factor is None or not isinstance(UpperCAmelCase__			,  UpperCAmelCase__  ) or rope_scaling_factor <= 1.0:
             raise ValueError(f"""`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"""  )





"""simple docstring"""






from __future__ import annotations

snake_case_   :   str        =       list[list[int]]

# assigning initial values to the grid
snake_case_   :   Matrix        =       [
    [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
snake_case_   :   Matrix        =       [
    [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   lowercase_	(    _lowercase       :		Matrix							,      _lowercase       :		int							,      _lowercase       :		int							,      _lowercase       :		int	):




					'''simple docstring'''






					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   lowercase_	(    _lowercase       :		Matrix	):




					'''simple docstring'''






					for i in range(9	):
										for j in range(9	):
															if grid[i][j] == 0:
																				return i, j
					return None



def   lowercase_	(    _lowercase       :		Matrix	):




					'''simple docstring'''






					if location := find_empty_location(_lowercase	):
										UpperCAmelCase      ,							UpperCAmelCase			:   List[str]      =				location
					else:
										# If the location is ``None``, then the grid is solved.
										return grid

					for digit in range(1							,      10	):
										if is_safe(_lowercase							,      _lowercase							,      _lowercase							,      _lowercase	):
															UpperCAmelCase			:   int      =				digit

															if sudoku(_lowercase	) is not None:
																				return grid

															UpperCAmelCase			:   Optional[Any]      =				0

					return None



def   lowercase_	(    _lowercase       :		Matrix	):




					'''simple docstring'''






					for row in grid:
										for cell in row:
															print(_lowercase							,      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""" + """=""" * 2_0)
		print_solution(example_grid)
		print("""\nExample grid solution:""")
		snake_case_   :   Dict        =       sudoku(example_grid)
		if solution is not None:
			print_solution(solution)
		else:
			print("""Cannot find a solution.""")


