

"""simple docstring"""


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


UpperCAmelCase													=get_tests_dir("fixtures/test_sentencepiece.model")

if is_sentencepiece_available():
  import sentencepiece as sp


UpperCAmelCase													=5
UpperCAmelCase													=10





@require_sentencepiece
@require_tokenizers
class lowerCamelCase__   (				SCREAMING_SNAKE_CASE     ,   unittest.TestCase    ):



    '''simple docstring'''




    _lowerCamelCase					=   SpeechaTextTokenizer
    _lowerCamelCase					=   False
    _lowerCamelCase					=   True




    def UpperCamelCase__		( self    )    ->      Dict:
          super().setUp()

          A				  =		sp.SentencePieceProcessor()
          spm_model.Load(lowerCamelCase_    )
          A				  =		["""<s>""", """<pad>""", """</s>""", """<unk>"""]

          vocab += [spm_model.IdToPiece(id_    ) for id_ in range(len(lowerCamelCase_    )    )]
          A				  =		dict(zip(lowerCamelCase_ ,range(len(lowerCamelCase_    )    )    )    )

          A				  =		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"""]    )

          A				  =		SpeechaTextTokenizer.from_pretrained(self.tmpdirname    )
          tokenizer.save_pretrained(self.tmpdirname    )




    def UpperCamelCase__		( self    )    ->      Optional[Any]:
          A				  =		"""<pad>"""
          A				  =		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    )    ->      int:
          A				  =		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_    ) ,1_0_0_1    )




    def UpperCamelCase__		( self    )    ->      Dict:
          self.assertEqual(self.get_tokenizer().vocab_size ,1_0_0_1    )




    def UpperCamelCase__		( self    )    ->      Optional[int]:
          A				  =		SpeechaTextTokenizer.from_pretrained(self.tmpdirname    )

          A				  =		tokenizer.tokenize("""This is a test"""    )
          self.assertListEqual(lowerCamelCase_ ,["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]    )

          self.assertListEqual(
              tokenizer.convert_tokens_to_ids(lowerCamelCase_    ) ,[2_8_9, 5_0, 1_4, 1_7_4, 3_8_6] ,)

          A				  =		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""", """."""] ,)
          A				  =		tokenizer.convert_tokens_to_ids(lowerCamelCase_    )
          self.assertListEqual(lowerCamelCase_ ,[1_2, 2_5, 8_8, 5_9, 2_8, 2_3, 1_1, 4, 6_0_6, 3_5_1, 3_5_1, 3_5_1, 7, 1_6, 7_0, 5_0, 7_6, 8_4, 1_0, 4, 8]    )

          A				  =		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    )    ->      Tuple:
          # fmt: off
          A				  =		{"""input_ids""": [[3_7_9_1, 7_9_7, 3_1, 1_1, 6_4, 7_9_7, 3_1, 2_4_2_9, 4_3_3, 1_2, 1_1_7_6, 1_2, 2_0, 7_8_6, 9_1_5, 1_4_2, 2_4_1_3, 2_4_0, 3_7, 3_2_3_8, 7_9_7, 3_1, 1_1, 3_5, 9_3, 9_1_5, 1_4_2, 2_4_1_3, 2_4_0, 3_7, 5_5_4_0, 5_6_7, 1_2_7_6, 9_3, 3_7, 6_1_0, 4_0, 6_2, 4_5_5, 6_5_7, 1_0_4_2, 1_2_3, 7_8_0, 1_7_7, 3_7, 3_0_9, 2_4_1, 1_2_9_8, 5_1_4, 2_0, 2_9_2, 2_7_3_7, 1_1_4, 2_4_6_9, 2_4_1, 8_5, 6_4, 3_0_2, 5_4_8, 5_2_8, 4_2_3, 4, 5_0_9, 4_0_6, 4_2_3, 3_7, 6_0_1, 4, 7_7_7, 3_0_2, 5_4_8, 5_2_8, 4_2_3, 2_8_4, 4, 3_3_8_8, 5_1_1, 4_5_9, 4, 3_5_5_5, 4_0, 3_2_1, 3_0_2, 7_0_5, 4, 3_3_8_8, 5_1_1, 5_8_3, 3_2_6, 5, 5, 5, 6_2, 3_3_1_0, 5_6_0, 1_7_7, 2_6_8_0, 2_1_7, 1_5_0_8, 3_2, 3_1, 8_5_3, 4_1_8, 6_4, 5_8_3, 5_1_1, 1_6_0_5, 6_2, 3_5, 9_3, 5_6_0, 1_7_7, 2_6_8_0, 2_1_7, 1_5_0_8, 1_5_2_1, 6_4, 5_8_3, 5_1_1, 5_1_9, 6_2, 2_0, 1_5_1_5, 7_6_4, 2_0, 1_4_9, 2_6_1, 5_6_2_5, 7_9_7_2, 2_0, 5_5_4_0, 5_6_7, 1_2_7_6, 9_3, 3_9_2_5, 1_6_7_5, 1_1, 1_5, 8_0_2, 7_9_7_2, 5_7_6, 2_1_7, 1_5_0_8, 1_1, 3_5, 9_3, 1_2_5_3, 2_4_4_1, 1_5, 2_8_9, 6_5_2, 3_1, 4_1_6, 3_2_1, 3_8_4_2, 1_1_5, 4_0, 9_1_1, 8, 4_7_6, 6_1_9, 4, 3_8_0, 1_4_2, 4_2_3, 3_3_5, 2_4_0, 3_5, 9_3, 2_6_4, 8, 1_1, 3_3_5, 5_6_9, 4_2_0, 1_6_3, 5, 2], [2_6_0, 5_4_8, 5_2_8, 4_2_3, 2_0, 4_5_1, 2_0, 2_6_8_1, 1_1_5_3, 3_4_3_4, 2_0, 5_5_4_0, 3_7, 5_6_7, 1_2_6, 1_2_5_3, 2_4_4_1, 3_3_7_6, 4_4_9, 2_1_0, 4_3_1, 1_5_6_3, 1_7_7, 7_6_7, 5_5_4_0, 1_1, 1_2_0_3, 4_7_2, 1_1, 2_9_5_3, 6_8_5, 2_8_5, 3_6_4, 7_0_6, 1_1_5_3, 2_0, 6_7_9_9, 2_0, 2_8_6_9, 2_0, 4_4_6_4, 1_2_6, 4_0, 2_4_2_9, 2_0, 1_0_4_0, 8_6_6, 2_6_6_4, 4_1_8, 2_0, 3_1_8, 2_0, 1_7_2_6, 1_8_6, 2_0, 2_6_5, 5_2_2, 3_5, 9_3, 2_1_9_1, 4_6_3_4, 2_0, 1_0_4_0, 1_2, 6_7_9_9, 1_5, 2_2_8, 2_3_5_6, 1_4_2, 3_1, 1_1, 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], [2_5_7_5, 2_6_6_6, 6_8_4, 1_5_8_2, 1_1_7_6, 1_2, 6_2_7, 1_4_9, 6_1_9, 2_0, 4_9_0_2, 5_6_3, 1_1, 2_0, 1_4_9, 2_6_1, 3_4_2_0, 2_3_5_6, 1_7_4, 1_4_2, 4_7_1_4, 1_3_1, 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    ):



    '''simple docstring'''




    _lowerCamelCase					=   '''valhalla/s2t_mustc_multilinguial_medium'''

    _lowerCamelCase					=   '''C\'est trop cool'''
    _lowerCamelCase					=   '''Esto es genial'''




    @classmethod
    def UpperCamelCase__		( cls    )    ->      Any:
          A				  =		SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name    )
          return cls




    def UpperCamelCase__		( self    )    ->      str:
          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"""] ,1_1    )




    def UpperCamelCase__		( self    )    ->      Optional[Any]:
          self.assertEqual(self.tokenizer.vocab_size ,1_0_0_0_0    )




    def UpperCamelCase__		( self    )    ->      Union[str, Any]:
          self.assertIn(lowerCamelCase_ ,self.tokenizer.all_special_ids    )
          A				  =		[ES_CODE, 4, 1_6_0_1, 4_7, 7_6_4_7, 2]
          A				  =		self.tokenizer.decode(lowerCamelCase_ ,skip_special_tokens=lowerCamelCase_    )
          A				  =		self.tokenizer.decode(generated_ids[1:] ,skip_special_tokens=lowerCamelCase_    )
          self.assertEqual(lowerCamelCase_ ,lowerCamelCase_    )
          self.assertNotIn(self.tokenizer.eos_token ,lowerCamelCase_    )




    def UpperCamelCase__		( self    )    ->      int:
          A				  =		"""fr"""
          A				  =		self.tokenizer(self.french_text    ).input_ids
          self.assertEqual(encoded[0] ,lowerCamelCase_    )
          self.assertEqual(encoded[-1] ,self.tokenizer.eos_token_id    )




    def UpperCamelCase__		( self    )    ->      Any:
          A				  =		"""fr"""
          self.assertListEqual(self.tokenizer.prefix_tokens ,[FR_CODE]    )

          A				  =		"""es"""
          self.assertListEqual(self.tokenizer.prefix_tokens ,[ES_CODE]    )







"""simple docstring"""


class lowerCamelCase__   :



    '''simple docstring'''




    def __init__( self    )    ->      Union[str, Any]:
          A				  =		{}




    def UpperCamelCase__		( self    )    ->      None:
          print(self.vertex    )
          for i in self.vertex:
                print(lowerCamelCase_ ,""" -> """ ,""" -> """.join([str(lowerCamelCase_    ) for j in self.vertex[i]]    )    )




    def UpperCamelCase__		( self ,lowerCamelCase_ ,lowerCamelCase_    )    ->      None:
          # check if vertex is already present,
          if from_vertex in self.vertex:
                self.vertex[from_vertex].append(lowerCamelCase_    )
          else:
                # else make a new vertex
                A				  =		[to_vertex]




    def UpperCamelCase__		( self    )    ->      None:
          # visited array for storing already visited nodes
          A				  =		[False] * len(self.vertex    )

          # call the recursive helper function
          for i in range(len(self.vertex    )    ):
                if not visited[i]:
                      self.dfs_recursive(lowerCamelCase_ ,lowerCamelCase_    )




    def UpperCamelCase__		( self ,lowerCamelCase_ ,lowerCamelCase_    )    ->      None:
          # mark start vertex as visited
          A				  =		True

          print(lowerCamelCase_ ,end=""" """    )

          # Recur for all the vertices that are adjacent to this node
          for i in self.vertex:
                if not visited[i]:
                      self.dfs_recursive(lowerCamelCase_ ,lowerCamelCase_    )


if __name__ == "__main__":
  UpperCAmelCase													=Graph()
  g.add_edge(0, 1)
  g.add_edge(0, 2)
  g.add_edge(1, 2)
  g.add_edge(2, 0)
  g.add_edge(2, 3)
  g.add_edge(3, 3)

  g.print_graph()
  print("DFS:")
  g.dfs()

  # OUTPUT:
  # 0  ->  1 -> 2
  # 1  ->  2
  # 2  ->  0 -> 3
  # 3  ->  3
  # DFS:
  #  0 1 2 3




