

"""simple docstring"""






import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


snake_case_   :   int        =       get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")







class       snake_case__  ( lowerCAmelCase_					,  unittest.TestCase     ):
			SCREAMING_SNAKE_CASE__     				=						BartphoTokenizer
			SCREAMING_SNAKE_CASE__     				=						False
			SCREAMING_SNAKE_CASE__     				=						True







			def 			__lowerCAmelCase				(			self			: str  ):





								'''simple docstring'''



								super().setUp()

								UpperCAmelCase			:   List[str]      =				["▁This", "▁is", "▁a", "▁t", "est"]
								UpperCAmelCase			:   List[str]      =				dict(zip(lowercase			,  range(len(lowercase  )  )  )  )
								UpperCAmelCase			:   Optional[Any]      =				{"unk_token": "<unk>"}

								UpperCAmelCase			:   Any      =				os.path.join(self.tmpdirname			,  VOCAB_FILES_NAMES["monolingual_vocab_file"]  )
								with open(self.monolingual_vocab_file			,  "w"			,  encoding="utf-8"  ) as fp:
													for token in vocab_tokens:
																		fp.write(f"""{token} {vocab_tokens[token]}\n"""  )

								UpperCAmelCase			:   str      =				BartphoTokenizer(lowercase			,  self.monolingual_vocab_file			,  **self.special_tokens_map  )
								tokenizer.save_pretrained(self.tmpdirname  )







			def 			__lowerCAmelCase				(			self			: Dict			,  **lowercase			: int  ):





								'''simple docstring'''



								kwargs.update(self.special_tokens_map  )
								return BartphoTokenizer.from_pretrained(self.tmpdirname			,  **lowercase  )







			def 			__lowerCAmelCase				(			self			: Union[str, Any]			,  lowercase			: List[Any]  ):





								'''simple docstring'''



								UpperCAmelCase			:   Union[str, Any]      =				"This is a là test"
								UpperCAmelCase			:   Dict      =				"This is a<unk><unk> test"
								return input_text, output_text







			def 			__lowerCAmelCase				(			self			: Dict  ):





								'''simple docstring'''



								UpperCAmelCase			:   List[str]      =				BartphoTokenizer(lowercase			,  self.monolingual_vocab_file			,  **self.special_tokens_map  )
								UpperCAmelCase			:   Any      =				"This is a là test"
								UpperCAmelCase			:   Any      =				"▁This ▁is ▁a ▁l à ▁t est".split()
								UpperCAmelCase			:   int      =				tokenizer.tokenize(lowercase  )
								self.assertListEqual(lowercase			,  lowercase  )

								UpperCAmelCase			:   Tuple      =				tokens + [tokenizer.unk_token]
								UpperCAmelCase			:   List[Any]      =				[4, 5, 6, 3, 3, 7, 8, 3]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase  )			,  lowercase  )





"""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.""")


