





'''simple docstring'''

import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin


class  a_					(    snake_case_				,   unittest.TestCase	):

    '''simple docstring'''
    UpperCamelCase			   =			SpeechaTextaTokenizer
    UpperCamelCase			   =			False


    def       snake_case_(		self	)		->       Optional[int]:
        super().setUp()

        _SCREAMING_SNAKE_CASE     =      """<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab""".split(""" """	)
        _SCREAMING_SNAKE_CASE     =      ["""he re</w> 123""", """here a 1456"""]
        _SCREAMING_SNAKE_CASE     =      dict(zip(A			,		range(len(A	)	)	)	)

        _SCREAMING_SNAKE_CASE     =      {"""pad_token""": """<pad>""", """unk_token""": """<unk>""", """bos_token""": """<s>""", """eos_token""": """</s>"""}

        _SCREAMING_SNAKE_CASE     =      tempfile.mkdtemp()
        _SCREAMING_SNAKE_CASE     =      os.path.join(self.tmpdirname			,		VOCAB_FILES_NAMES["""vocab_file"""]	)
        _SCREAMING_SNAKE_CASE     =      os.path.join(self.tmpdirname			,		VOCAB_FILES_NAMES["""merges_file"""]	)

        with open(self.vocab_file			,		"""w"""			,		encoding="""utf-8"""	) as fp:
            fp.write(json.dumps(A	) + """\n"""	)

        with open(self.merges_file			,		"""w"""	) as fp:
            fp.write("""\n""".join(A	)	)


    def       snake_case_(		self	)		->       List[Any]:
        _SCREAMING_SNAKE_CASE     =      list(self.get_tokenizer().get_vocab().keys()	)

        self.assertEqual(vocab_keys[0]			,		"""<s>"""	)
        self.assertEqual(vocab_keys[1]			,		"""<pad>"""	)
        self.assertEqual(vocab_keys[-1]			,		"""vocab"""	)
        self.assertEqual(len(A	)			,		14	)


    def       snake_case_(		self	)		->       Any:
        self.assertEqual(self.get_tokenizer().vocab_size			,		14	)


    def       snake_case_(		self	)		->       str:
        _SCREAMING_SNAKE_CASE     =      SpeechaTextaTokenizer.from_pretrained(self.tmpdirname	)

        # make sure @@ is correctly concatenated
        _SCREAMING_SNAKE_CASE     =      [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
        _SCREAMING_SNAKE_CASE     =      tokenizer.decode(A	)

        self.assertTrue(output_string == """herecouple words ofthe"""	)


    def       snake_case_(		self	)		->       Union[str, Any]:
        _SCREAMING_SNAKE_CASE     =      SpeechaTextaTokenizer.from_pretrained(self.tmpdirname	)

        with tempfile.TemporaryDirectory() as tmp_dirname:
            tokenizer.save_pretrained(A	)
            os.remove(os.path.join(A			,		"""merges.txt"""	)	)

            # load tokenizer without merges file should not throw an error
            _SCREAMING_SNAKE_CASE     =      SpeechaTextaTokenizer.from_pretrained(A	)

        with tempfile.TemporaryDirectory() as tmp_dirname:
            # save tokenizer and load again
            tokenizer.save_pretrained(A	)
            _SCREAMING_SNAKE_CASE     =      SpeechaTextaTokenizer.from_pretrained(A	)

        self.assertIsNotNone(A	)





    def       snake_case_(		self	)		->       Tuple:
        if not self.test_slow_tokenizer:
            return

        _SCREAMING_SNAKE_CASE     =      inspect.signature(self.tokenizer_class.__init__	)
        _SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

        for parameter_name, parameter in signature.parameters.items():
            if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
                self.assertIn(A			,		tokenizer.init_kwargs	)










'''simple docstring'''

def lowerCamelCase						(					__lowerCamelCase			:   int ,	__lowerCamelCase			:   int ,	__lowerCamelCase			:   int ,	__lowerCamelCase			:   int   )						->int:
    return len_board * len_board_column * row + column





def lowerCamelCase						(					__lowerCamelCase			:   list[list[str]] ,	__lowerCamelCase			:   str ,	__lowerCamelCase			:   int ,	__lowerCamelCase			:   int ,	__lowerCamelCase			:   int ,	__lowerCamelCase			:   set[int] ,	)						->bool:

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

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

    _SCREAMING_SNAKE_CASE     =      [(0, 1), (0, -1), (-1, 0), (1, 0)]
    _SCREAMING_SNAKE_CASE     =      len(__lowerCamelCase   )
    _SCREAMING_SNAKE_CASE     =      len(board[0]   )
    for direction in traverts_directions:
        _SCREAMING_SNAKE_CASE     =      row + direction[0]
        _SCREAMING_SNAKE_CASE     =      column + direction[1]
        if not (0 <= next_i < len_board and 0 <= next_j < len_board_column):
            continue

        _SCREAMING_SNAKE_CASE     =      get_point_key(__lowerCamelCase ,	__lowerCamelCase ,	__lowerCamelCase ,	__lowerCamelCase   )
        if key in visited_points_set:
            continue

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

        visited_points_set.remove(__lowerCamelCase   )

    return False





def lowerCamelCase						(					__lowerCamelCase			:   list[list[str]] ,	__lowerCamelCase			:   str   )						->bool:
    _SCREAMING_SNAKE_CASE     =      (
        """The board should be a non empty matrix of single chars strings."""
    )

    _SCREAMING_SNAKE_CASE     =      len(__lowerCamelCase   )
    if not isinstance(__lowerCamelCase ,	__lowerCamelCase   ) or len(__lowerCamelCase   ) == 0:
        raise ValueError(__lowerCamelCase   )

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

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

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

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

    return False


if __name__ == "__main__":
      import doctest

      doctest.testmod()



