import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
from transformers.models.speech_to_text import SpeechaTextTokenizer
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


lowercase_     :   Dict 				=				get_tests_dir('fixtures/test_sentencepiece.model')

if is_sentencepiece_available():
      import sentencepiece as sp


lowercase_     :   Tuple 				=				5
lowercase_     :   int 				=				1_0






@require_sentencepiece
@require_tokenizers
class 		_lowerCamelCase		(   UpperCamelCase_    ,     unittest.TestCase    ):
    __a  =      SpeechaTextTokenizer
    __a  =      False
    __a  =      True
    def 						UpperCamelCase_				(  self   )       ->					List[Any]:
     super().setUp()

     SCREAMING_SNAKE_CASE__:   Optional[int]=      sp.SentencePieceProcessor()
     spm_model.Load(lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   str=      ['''<s>''', '''<pad>''', '''</s>''', '''<unk>''']

     vocab += [spm_model.IdToPiece(id_   ) for id_ in range(len(lowerCAmelCase   )   )]
     SCREAMING_SNAKE_CASE__:   Dict=      dict(zip(lowerCAmelCase , range(len(lowerCAmelCase   )   )   )   )

     SCREAMING_SNAKE_CASE__:   Dict=      Path(self.tmpdirname   )
     save_json(lowerCAmelCase , save_dir / VOCAB_FILES_NAMES['''vocab_file''']   )
     if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
      copyfile(lowerCAmelCase , save_dir / VOCAB_FILES_NAMES['''spm_file''']   )

     SCREAMING_SNAKE_CASE__:   List[str]=      SpeechaTextTokenizer.from_pretrained(self.tmpdirname   )
     tokenizer.save_pretrained(self.tmpdirname   )
    def 						UpperCamelCase_				(  self   )       ->					str:
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      '''<pad>'''
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase   ) , lowerCAmelCase   )
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase   ) , lowerCAmelCase   )
    def 						UpperCamelCase_				(  self   )       ->					Union[str, Any]:
     SCREAMING_SNAKE_CASE__:   str=      list(self.get_tokenizer().get_vocab().keys()   )

     self.assertEqual(vocab_keys[0] , '''<s>'''   )
     self.assertEqual(vocab_keys[1] , '''<pad>'''   )
     self.assertEqual(vocab_keys[-1] , '''j'''   )
     self.assertEqual(len(lowerCAmelCase   ) , 1001   )
    def 						UpperCamelCase_				(  self   )       ->					str:
     self.assertEqual(self.get_tokenizer().vocab_size , 1001   )
    def 						UpperCamelCase_				(  self   )       ->					str:
     SCREAMING_SNAKE_CASE__:   Optional[int]=      SpeechaTextTokenizer.from_pretrained(self.tmpdirname   )

     SCREAMING_SNAKE_CASE__:   Dict=      tokenizer.tokenize('''This is a test'''   )
     self.assertListEqual(lowerCAmelCase , ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']   )

     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(lowerCAmelCase   ) , [289, 50, 14, 174, 386] , )

     SCREAMING_SNAKE_CASE__:   Optional[int]=      tokenizer.tokenize('''I was born in 92000, and this is falsé.'''   )
     self.assertListEqual(
         lowerCAmelCase , [SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''9''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''é''', '''.'''] , )
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      tokenizer.convert_tokens_to_ids(lowerCAmelCase   )
     self.assertListEqual(lowerCAmelCase , [12, 25, 88, 59, 28, 23, 11, 4, 606, 351, 351, 351, 7, 16, 70, 50, 76, 84, 10, 4, 8]   )

     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      tokenizer.convert_ids_to_tokens(lowerCAmelCase   )
     self.assertListEqual(
         lowerCAmelCase , [SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''<unk>''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''<unk>''', '''.'''] , )



    @slow
    def 						UpperCamelCase_				(  self   )       ->					List[str]:
     # fmt: off
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      {'''input_ids''': [[3791, 797, 31, 11, 64, 797, 31, 2429, 433, 12, 1176, 12, 20, 786, 915, 142, 2413, 240, 37, 3238, 797, 31, 11, 35, 93, 915, 142, 2413, 240, 37, 5540, 567, 1276, 93, 37, 610, 40, 62, 455, 657, 1042, 123, 780, 177, 37, 309, 241, 1298, 514, 20, 292, 2737, 114, 2469, 241, 85, 64, 302, 548, 528, 423, 4, 509, 406, 423, 37, 601, 4, 777, 302, 548, 528, 423, 284, 4, 3388, 511, 459, 4, 3555, 40, 321, 302, 705, 4, 3388, 511, 583, 326, 5, 5, 5, 62, 3310, 560, 177, 2680, 217, 1508, 32, 31, 853, 418, 64, 583, 511, 1605, 62, 35, 93, 560, 177, 2680, 217, 1508, 1521, 64, 583, 511, 519, 62, 20, 1515, 764, 20, 149, 261, 5625, 7972, 20, 5540, 567, 1276, 93, 3925, 1675, 11, 15, 802, 7972, 576, 217, 1508, 11, 35, 93, 1253, 2441, 15, 289, 652, 31, 416, 321, 3842, 115, 40, 911, 8, 476, 619, 4, 380, 142, 423, 335, 240, 35, 93, 264, 8, 11, 335, 569, 420, 163, 5, 2], [260, 548, 528, 423, 20, 451, 20, 2681, 1153, 3434, 20, 5540, 37, 567, 126, 1253, 2441, 3376, 449, 210, 431, 1563, 177, 767, 5540, 11, 1203, 472, 11, 2953, 685, 285, 364, 706, 1153, 20, 6799, 20, 2869, 20, 4464, 126, 40, 2429, 20, 1040, 866, 2664, 418, 20, 318, 20, 1726, 186, 20, 265, 522, 35, 93, 2191, 4634, 20, 1040, 12, 6799, 15, 228, 2356, 142, 31, 11, 5, 2, 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], [2575, 2666, 684, 1582, 1176, 12, 627, 149, 619, 20, 4902, 563, 11, 20, 149, 261, 3420, 2356, 174, 142, 4714, 131, 5, 2, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], '''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, 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, 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, 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, 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=lowerCAmelCase , model_name='''facebook/s2t-small-mustc-en-de-st''' , revision='''a14f04cf0776c02f62a8cb800cf7909e15ea23ad''' , )






@require_sentencepiece
class 		_lowerCamelCase		(   unittest.TestCase    ):
    __a  =      "valhalla/s2t_mustc_multilinguial_medium"

    __a  =      "C'est trop cool"
    __a  =      "Esto es genial"
    @classmethod
    def 						UpperCamelCase_				(  cls   )       ->					Optional[Any]:
     SCREAMING_SNAKE_CASE__:   SpeechaTextTokenizer=      SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name   )
     return cls
    def 						UpperCamelCase_				(  self   )       ->					Tuple:
     self.assertEqual(self.tokenizer.lang_code_to_id['''pt'''] , 4   )
     self.assertEqual(self.tokenizer.lang_code_to_id['''ru'''] , 6   )
     self.assertEqual(self.tokenizer.lang_code_to_id['''it'''] , 9   )
     self.assertEqual(self.tokenizer.lang_code_to_id['''de'''] , 11   )
    def 						UpperCamelCase_				(  self   )       ->					Tuple:
     self.assertEqual(self.tokenizer.vocab_size , 10000   )
    def 						UpperCamelCase_				(  self   )       ->					Optional[int]:
     self.assertIn(lowerCAmelCase , self.tokenizer.all_special_ids   )
     SCREAMING_SNAKE_CASE__:   int=      [ES_CODE, 4, 1601, 47, 7647, 2]
     SCREAMING_SNAKE_CASE__:   str=      self.tokenizer.decode(lowerCAmelCase , skip_special_tokens=lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   Any=      self.tokenizer.decode(generated_ids[1:] , skip_special_tokens=lowerCAmelCase   )
     self.assertEqual(lowerCAmelCase , lowerCAmelCase   )
     self.assertNotIn(self.tokenizer.eos_token , lowerCAmelCase   )
    def 						UpperCamelCase_				(  self   )       ->					Optional[int]:
     SCREAMING_SNAKE_CASE__:   Tuple=      '''fr'''
     SCREAMING_SNAKE_CASE__:   int=      self.tokenizer(self.french_text   ).input_ids
     self.assertEqual(encoded[0] , lowerCAmelCase   )
     self.assertEqual(encoded[-1] , self.tokenizer.eos_token_id   )



    def 						UpperCamelCase_				(  self   )       ->					Optional[Any]:
     SCREAMING_SNAKE_CASE__:   Tuple=      '''fr'''
     self.assertListEqual(self.tokenizer.prefix_tokens , [FR_CODE]   )

     SCREAMING_SNAKE_CASE__:   Optional[Any]=      '''es'''
     self.assertListEqual(self.tokenizer.prefix_tokens , [ES_CODE]   )


import os







def 			A__      (	snake_case_ :		str = "matrix.txt"      ):
 with open(os.path.join(os.path.dirname(snake_case_      )       ,				snake_case_      )      ) as in_file:
  SCREAMING_SNAKE_CASE__:   Dict=      in_file.read()

 SCREAMING_SNAKE_CASE__:   Optional[int]=      [[int(snake_case_      ) for cell in row.split(''','''      )] for row in data.strip().splitlines()]
 SCREAMING_SNAKE_CASE__:   int=      [[0 for cell in row] for row in grid]
 SCREAMING_SNAKE_CASE__:   Dict=      len(grid[0]      )

 SCREAMING_SNAKE_CASE__:   Dict=      [[0 for i in range(snake_case_      )] for j in range(snake_case_      )]
 SCREAMING_SNAKE_CASE__:   Optional[int]=      grid[0][0]
 for i in range(1       ,				snake_case_      ):
  SCREAMING_SNAKE_CASE__:   Optional[int]=      grid[0][i] + dp[0][i - 1]
 for i in range(1       ,				snake_case_      ):
  SCREAMING_SNAKE_CASE__:   List[Any]=      grid[i][0] + dp[i - 1][0]

 for i in range(1       ,				snake_case_      ):
  for j in range(1       ,				snake_case_      ):
   SCREAMING_SNAKE_CASE__:   Dict=      grid[i][j] + min(dp[i - 1][j]       ,				dp[i][j - 1]      )

 return dp[-1][-1]


if __name__ == "__main__":
      print(f'''{solution() = }''')

