

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     __magic_name__     (							_snake_case						,    unittest.TestCase     ):
 UpperCAmelCase				     =    SpeechaTextaTokenizer
 UpperCAmelCase				     =    False


 def _UpperCamelCase						(    self		:			Any     )     ->   List[Any]:
   super().setUp()

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

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

   UpperCAmelCase          =	tempfile.mkdtemp()
   UpperCAmelCase          =	os.path.join(self.tmpdirname      ,    VOCAB_FILES_NAMES["vocab_file"]     )
   UpperCAmelCase          =	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 _UpperCamelCase						(    self		:			Tuple     )     ->   Tuple:
   UpperCAmelCase          =	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_     )      ,    1_4     )


 def _UpperCamelCase						(    self		:			int     )     ->   int:
   self.assertEqual(self.get_tokenizer().vocab_size      ,    1_4     )


 def _UpperCamelCase						(    self		:			Union[str, Any]     )     ->   List[Any]:
   UpperCAmelCase          =	SpeechaTextaTokenizer.from_pretrained(self.tmpdirname     )

   # make sure @@ is correctly concatenated
   UpperCAmelCase          =	[4, 6, 8, 7, 1_0]  # ["here@@", "couple", "words", "of@@", "the"]
   UpperCAmelCase          =	tokenizer.decode(A_     )

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


 def _UpperCamelCase						(    self		:			int     )     ->   List[str]:
   UpperCAmelCase          =	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
     UpperCAmelCase          =	SpeechaTextaTokenizer.from_pretrained(A_     )

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

   self.assertIsNotNone(A_     )


 def _UpperCamelCase						(    self		:			Tuple     )     ->   Optional[int]:
   if not self.test_slow_tokenizer:
     return

   UpperCAmelCase          =	inspect.signature(self.tokenizer_class.__init__     )
   UpperCAmelCase          =	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     )






def 				__a							(       __A			,							__A			,							__A			,							__A						):
    return len_board * len_board_column * row + column





def 				__a							(       __A			,							__A			,							__A			,							__A			,							__A			,							__A			,							):

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

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

    SCREAMING_SNAKE_CASE__         =    [(0, 1), (0, -1), (-1, 0), (1, 0)]
    SCREAMING_SNAKE_CASE__         =    len(__A						)
    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(__A			,							__A			,							__A			,							__A						)
        if key in visited_points_set:
            continue

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

        visited_points_set.remove(__A						)

    return False





def 				__a							(       __A			,							__A						):
    SCREAMING_SNAKE_CASE__         =    (
        "The board should be a non empty matrix of single chars strings."
    )

    SCREAMING_SNAKE_CASE__         =    len(__A						)
    if not isinstance(__A			,							__A						) or len(__A						) == 0:
        raise ValueError(__A						)

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

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

    # Validate word
    if not isinstance(__A			,							__A						) or len(__A						) == 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(__A						):
        for j in range(__A						):
            if exits_word(
                __A			,							__A			,							__A			,							__A			,							0			,							{get_point_key(__A			,							__A			,							__A			,							__A						)}						):
                return True

    return False


if __name__ == "__main__":
  import doctest

  doctest.testmod()


