


'''simple docstring'''
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
		from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


__snake_case											=					get_tests_dir('''fixtures/test_sentencepiece.model''')

__snake_case											=					{'''target_lang''': '''fi''', '''source_lang''': '''en'''}
__snake_case											=					'''>>zh<<'''
__snake_case											=					'''Helsinki-NLP/'''

if is_torch_available():
		__snake_case											=					'''pt'''
elif is_tf_available():
		__snake_case											=					'''tf'''
else:
		__snake_case											=					'''jax'''
@require_sentencepiece
class        lowercase     (							A__     ,		unittest.TestCase ):

		"""simple docstring"""

		_a   			=    MarianTokenizer
		_a   			=    False
		_a   			=    True




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							super().setUp()
							UpperCamelCase__       :Dict							 =			['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
							UpperCamelCase__       :str							 =			dict(zip(UpperCamelCase_   ,       range(len(UpperCamelCase_							)							)							)							)
							UpperCamelCase__       :Dict							 =			Path(self.tmpdirname							)
							save_json(UpperCamelCase_   ,       save_dir / VOCAB_FILES_NAMES['''vocab''']							)
							save_json(UpperCamelCase_   ,       save_dir / VOCAB_FILES_NAMES['''tokenizer_config_file''']							)
							if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
												copyfile(UpperCamelCase_   ,       save_dir / VOCAB_FILES_NAMES['''source_spm''']							)
												copyfile(UpperCamelCase_   ,       save_dir / VOCAB_FILES_NAMES['''target_spm''']							)

							UpperCamelCase__       :Optional[int]							 =			MarianTokenizer.from_pretrained(self.tmpdirname							)
							tokenizer.save_pretrained(self.tmpdirname							)




		def    lowerCAmelCase__    (		self   ,       **UpperCamelCase_							):

							'''simple docstring'''


							return MarianTokenizer.from_pretrained(self.tmpdirname   ,       **UpperCamelCase_							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							return (
							    "This is a test",
							    "This is a test",
							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Union[str, Any]							 =			'''</s>'''
							UpperCamelCase__       :Optional[Any]							 =			0

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCamelCase_							)   ,       UpperCamelCase_							)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCamelCase_							)   ,       UpperCamelCase_							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :List[Any]							 =			list(self.get_tokenizer().get_vocab().keys()							)

							self.assertEqual(vocab_keys[0]   ,       '''</s>'''							)
							self.assertEqual(vocab_keys[1]   ,       '''<unk>'''							)
							self.assertEqual(vocab_keys[-1]   ,       '''<pad>'''							)
							self.assertEqual(len(UpperCamelCase_							)   ,       9							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							self.assertEqual(self.get_tokenizer().vocab_size   ,       9							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Union[str, Any]							 =			MarianTokenizer.from_pretrained(F'''{ORG_NAME}opus-mt-en-de'''							)
							UpperCamelCase__       :Optional[Any]							 =			en_de_tokenizer(['''I am a small frog''']   ,       return_tensors=UpperCamelCase_							)
							self.assertIsInstance(UpperCamelCase_   ,       UpperCamelCase_							)
							UpperCamelCase__       :Union[str, Any]							 =			[38, 121, 14, 697, 38848, 0]
							self.assertListEqual(UpperCamelCase_   ,       batch.input_ids[0]							)

							UpperCamelCase__       :str							 =			tempfile.mkdtemp()
							en_de_tokenizer.save_pretrained(UpperCamelCase_							)
							UpperCamelCase__       :Any							 =			[x.name for x in Path(UpperCamelCase_							).glob('''*'''							)]
							self.assertIn('''source.spm'''   ,       UpperCamelCase_							)
							MarianTokenizer.from_pretrained(UpperCamelCase_							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :List[Any]							 =			self.get_tokenizer()

							UpperCamelCase__       :int							 =			tok(
							    ['''I am a small frog''' * 1000, '''I am a small frog''']   ,       padding=UpperCamelCase_   ,       truncation=UpperCamelCase_   ,       return_tensors=UpperCamelCase_							)
							self.assertIsInstance(UpperCamelCase_   ,       UpperCamelCase_							)
							self.assertEqual(batch.input_ids.shape   ,       (2, 512)							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :List[Any]							 =			self.get_tokenizer()
							UpperCamelCase__       :Optional[Any]							 =			tok(['''I am a tiny frog''', '''I am a small frog''']   ,       padding=UpperCamelCase_   ,       return_tensors=UpperCamelCase_							)
							self.assertIsInstance(UpperCamelCase_   ,       UpperCamelCase_							)
							self.assertEqual(batch_smaller.input_ids.shape   ,       (2, 10)							)




		@slow
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Dict							 =			{'''input_ids''': [[43495, 462, 20, 42164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 38999, 6, 8, 464, 132, 1703, 492, 13, 4669, 37867, 13, 7525, 27, 1593, 988, 13, 33972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 12338, 2, 13958, 387, 2, 3629, 6953, 188, 2900, 2, 13958, 8011, 11501, 23, 8460, 4073, 34009, 20, 435, 11439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 37867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 26453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10767, 6, 316, 304, 4239, 3, 0], [148, 15722, 19, 1839, 12, 1350, 13, 22327, 5082, 5418, 47567, 35938, 59, 318, 19552, 108, 2183, 54, 14976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 19088, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100], [36, 6395, 12570, 39147, 11597, 6, 266, 4, 45405, 7296, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=UpperCamelCase_   ,       model_name='''Helsinki-NLP/opus-mt-en-de'''   ,       revision='''1a8c2263da11e68e50938f97e10cd57820bd504c'''   ,       decode_kwargs={'''use_source_tokenizer''': True}   ,       )




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :int							 =			MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''							)

							UpperCamelCase__       :Any							 =			'''Tämä on testi'''
							UpperCamelCase__       :Tuple							 =			'''This is a test'''

							UpperCamelCase__       :Optional[int]							 =			[76, 7, 2047, 2]
							UpperCamelCase__       :List[str]							 =			[69, 12, 11, 940, 2]

							UpperCamelCase__       :Optional[int]							 =			tokenizer(UpperCamelCase_							).input_ids
							self.assertListEqual(UpperCamelCase_   ,       UpperCamelCase_							)

							UpperCamelCase__       :Optional[int]							 =			tokenizer(text_target=UpperCamelCase_							).input_ids
							self.assertListEqual(UpperCamelCase_   ,       UpperCamelCase_							)

							UpperCamelCase__       :int							 =			tokenizer.decode(UpperCamelCase_   ,       skip_special_tokens=UpperCamelCase_							)
							self.assertEqual(UpperCamelCase_   ,       UpperCamelCase_							)



'''simple docstring'''
from __future__ import annotations

__snake_case											=					list[list[int]]

# assigning initial values to the grid
__snake_case											=					[
    [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											=					[
    [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			, __a			, __a			, __a       )  ->     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       )  ->     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 | None:



					'''simple docstring'''






					if location := find_empty_location(__a       ):
										UpperCamelCase__ ,    UpperCamelCase__       :Optional[int]							 =			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       ):
															UpperCamelCase__       :Tuple							 =			digit

															if sudoku(__a       ) is not None:
																				return grid

															UpperCamelCase__       :Union[str, Any]							 =			0

					return None


def       a				(      __a       )  ->     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:''')
				__snake_case											=					sudoku(example_grid)
				if solution is not None:
						print_solution(solution)
				else:
						print('''Cannot find a solution.''')