






import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 						lowerCamelCase   (_snake_case				,						unittest.TestCase    ):







		'''simple docstring'''



		_snake_case					:					int 		=						MPNetTokenizer
		_snake_case					:					Optional[Any] 		=						MPNetTokenizerFast
		_snake_case					:					Optional[int] 		=						True
		_snake_case					:					List[str] 		=						True



		def       __UpperCAmelCase    (							self     )			->							Union[str, Any]:
							super().setUp()

							UpperCAmelCase_					:   List[str]   =		[
							    '[UNK]',
							    '[CLS]',
							    '[SEP]',
							    '[PAD]',
							    '[MASK]',
							    'want',
							    '##want',
							    '##ed',
							    'wa',
							    'un',
							    'runn',
							    '##ing',
							    ',',
							    'low',
							    'lowest',
							]
							UpperCAmelCase_					:   List[Any]   =		os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES['vocab_file']     )
							with open(self.vocab_file       ,	'w'       ,	encoding='utf-8'     ) as vocab_writer:
												vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]     )     )



		def       __UpperCAmelCase    (							self       ,	_UpperCamelCase     )			->							int:
							UpperCAmelCase_					:   int   =		'UNwant\u00E9d,running'
							UpperCAmelCase_					:   str   =		'unwanted, running'
							return input_text, output_text



		def       __UpperCAmelCase    (							self     )			->							Dict:
							UpperCAmelCase_					:   Dict   =		self.tokenizer_class(self.vocab_file     )

							UpperCAmelCase_					:   Union[str, Any]   =		tokenizer.tokenize('UNwant\u00E9d,running'     )
							self.assertListEqual(_UpperCamelCase       ,	['un', '##want', '##ed', ',', 'runn', '##ing']     )
							self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase     )       ,	[9, 6, 7, 1_2, 1_0, 1_1]     )



		@slow
		def       __UpperCAmelCase    (							self     )			->							Dict:
							UpperCAmelCase_					:   Union[str, Any]   =		self.tokenizer_class.from_pretrained('microsoft/mpnet-base'     )

							UpperCAmelCase_					:   Any   =		tokenizer.encode('sequence builders'       ,	add_special_tokens=_UpperCamelCase     )
							UpperCAmelCase_					:   Dict   =		tokenizer.encode('multi-sequence build'       ,	add_special_tokens=_UpperCamelCase     )

							UpperCAmelCase_					:   Any   =		tokenizer.build_inputs_with_special_tokens(_UpperCamelCase     )
							UpperCAmelCase_					:   Union[str, Any]   =		tokenizer.build_inputs_with_special_tokens(_UpperCamelCase       ,	_UpperCamelCase     )

							assert encoded_sentence == [0] + text + [2]
							assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]














def   lowercase__   (  __snake_case					:							int  , __snake_case					:							int  , __snake_case					:							int  , __snake_case					:							int						):


					'''simple docstring'''


					return len_board * len_board_column * row + column




def   lowercase__   (  __snake_case					:							list[list[str]]  , __snake_case					:							str  , __snake_case					:							int  , __snake_case					:							int  , __snake_case					:							int  , __snake_case					:							set[int]  , ):


					'''simple docstring'''


					if board[row][column] != word[word_index]:
										return False

					if word_index == len(__snake_case						) - 1:
										return True

					UpperCAmelCase_					:   Dict   =		[(0, 1), (0, -1), (-1, 0), (1, 0)]
					UpperCAmelCase_					:   Union[str, Any]   =		len(__snake_case						)
					UpperCAmelCase_					:   List[Any]   =		len(board[0]						)
					for direction in traverts_directions:
										UpperCAmelCase_					:   Optional[int]   =		row + direction[0]
										UpperCAmelCase_					:   Optional[int]   =		column + direction[1]
										if not (0 <= next_i < len_board and 0 <= next_j < len_board_column):
															continue

										UpperCAmelCase_					:   Tuple   =		get_point_key(__snake_case  , __snake_case  , __snake_case  , __snake_case						)
										if key in visited_points_set:
															continue

										visited_points_set.add(__snake_case						)
										if exits_word(__snake_case  , __snake_case  , __snake_case  , __snake_case  , word_index + 1  , __snake_case						):
															return True

										visited_points_set.remove(__snake_case						)

					return False




def   lowercase__   (  __snake_case					:							list[list[str]]  , __snake_case					:							str						):


					'''simple docstring'''


					UpperCAmelCase_					:   Any   =		(
					    'The board should be a non empty matrix of single chars strings.'
					)

					UpperCAmelCase_					:   Optional[Any]   =		len(__snake_case						)
					if not isinstance(__snake_case  , __snake_case						) or len(__snake_case						) == 0:
										raise ValueError(__snake_case						)

					for row in board:
										if not isinstance(__snake_case  , __snake_case						) or len(__snake_case						) == 0:
															raise ValueError(__snake_case						)

										for item in row:
															if not isinstance(__snake_case  , __snake_case						) or len(__snake_case						) != 1:
																				raise ValueError(__snake_case						)

    # Validate word
					if not isinstance(__snake_case  , __snake_case						) or len(__snake_case						) == 0:
										raise ValueError(
										    'The word parameter should be a string of length greater than 0.'						)

					UpperCAmelCase_					:   Any   =		len(board[0]						)
					for i in range(__snake_case						):
										for j in range(__snake_case						):
															if exits_word(
															    __snake_case  , __snake_case  , __snake_case  , __snake_case  , 0  , {get_point_key(__snake_case  , __snake_case  , __snake_case  , __snake_case						)}						):
																				return True

					return False


if __name__ == "__main__":
		import doctest

		doctest.testmod()






