

import io
import json
import unittest

from parameterized import parameterized

from transformers import FSMTForConditionalGeneration, FSMTTokenizer
from transformers.testing_utils import get_tests_dir, require_torch, slow, torch_device
from utils import calculate_bleu


snake_case_			  = get_tests_dir() + "/test_data/fsmt/fsmt_val_data.json"
with io.open(filename, '''r''', encoding='''utf-8''') as f:
       snake_case_			  = json.load(f)


@require_torch
class       SCREAMING_SNAKE_CASE__					(unittest.TestCase     ):





    def       snake_case_				(      self						,   a):
         return FSMTTokenizer.from_pretrained(lowerCamelCase_)





    def       snake_case_				(      self						,   a):
         lowercase__    :   Dict      =       FSMTForConditionalGeneration.from_pretrained(lowerCamelCase_).to(lowerCamelCase_)
         if torch_device == "cuda":
              model.half()
         return model





    @parameterized.expand(
        [
            ['en-ru', 26.0],
            ['ru-en', 22.0],
            ['en-de', 22.0],
            ['de-en', 29.0],
        ])
    @slow
    def       snake_case_				(      self						,   a						,   a):
         lowercase__    :   int      =       f"""facebook/wmt19-{pair}"""
         lowercase__    :   Optional[Any]      =       self.get_tokenizer(lowerCamelCase_)
         lowercase__    :   List[str]      =       self.get_model(lowerCamelCase_)

         lowercase__    :   Optional[int]      =       bleu_data[pair]['src']
         lowercase__    :   Dict      =       bleu_data[pair]['tgt']

         lowercase__    :   List[Any]      =       tokenizer(lowerCamelCase_						,   return_tensors='pt'						,   truncation=lowerCamelCase_						,   padding='longest').to(lowerCamelCase_)
         lowercase__    :   Dict      =       model.generate(
             input_ids=batch.input_ids						,   num_beams=8						,   )
         lowercase__    :   List[Any]      =       tokenizer.batch_decode(
             lowerCamelCase_						,   skip_special_tokens=lowerCamelCase_						,   clean_up_tokenization_spaces=lowerCamelCase_)
         lowercase__    :   Union[str, Any]      =       calculate_bleu(lowerCamelCase_						,   lowerCamelCase_)
         print(lowerCamelCase_)
         self.assertGreaterEqual(scores['bleu']						,   lowerCamelCase_)






from __future__ import annotations

_lowercase: Tuple      			=		list[list[int]]

# assigning initial values to the grid
_lowercase: 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
_lowercase: 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     a(      A       :    Matrix ,     A       :    int ,     A       :    int ,     A       :    int       )		->       bool:
					"""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     a(      A       :    Matrix       )		->       tuple[int, int] | None:
					"""simple docstring"""





					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:
					"""simple docstring"""





					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:
					"""simple docstring"""





					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:")
								_lowercase: List[str]      			=		sudoku(example_grid)
								if solution is not None:
												print_solution(solution)
								else:
												print("Cannot find a solution.")
