





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  :   Any						      =get_tests_dir("""fixtures/test_sentencepiece.model""")

if is_sentencepiece_available():
     import sentencepiece as sp


__lowercase  :   str						      =5
__lowercase  :   Any						      =10

@require_sentencepiece
@require_tokenizers
class      A       (	__lowercase		,      unittest.TestCase						):
      _snake_case							     =SpeechaTextTokenizer
      _snake_case							     =False
      _snake_case							     =True



      def 	lowerCAmelCase__    (	self:						int       )						->    Any:
         '''simple docstring'''

         super().setUp()

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

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

         UpperCAmelCase_											=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"]       )

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



      def 	lowerCAmelCase__    (	self:						Optional[Any]       )						->    Any:
         '''simple docstring'''

         UpperCAmelCase_											="<pad>"
         UpperCAmelCase_											=1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowerCAmelCase       )		,  _lowerCAmelCase       )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowerCAmelCase       )		,  _lowerCAmelCase       )



      def 	lowerCAmelCase__    (	self:						List[str]       )						->    List[str]:
         '''simple docstring'''

         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]		,  "j"       )
         self.assertEqual(len(_lowerCAmelCase       )		,  1001       )



      def 	lowerCAmelCase__    (	self:						str       )						->    Union[str, Any]:
         '''simple docstring'''

         self.assertEqual(self.get_tokenizer().vocab_size		,  1001       )



      def 	lowerCAmelCase__    (	self:						Dict       )						->    List[Any]:
         '''simple docstring'''

         UpperCAmelCase_											=SpeechaTextTokenizer.from_pretrained(self.tmpdirname       )

         UpperCAmelCase_											=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]		,  )

         UpperCAmelCase_											=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", "."]		,  )
         UpperCAmelCase_											=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]       )

         UpperCAmelCase_											=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 	lowerCAmelCase__    (	self:						Tuple       )						->    Tuple:
         '''simple docstring'''

         UpperCAmelCase_											={"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      A       (	unittest.TestCase						):
      _snake_case							     ='''valhalla/s2t_mustc_multilinguial_medium'''

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



      @classmethod
      def 	lowerCAmelCase__    (	cls:						List[str]       )						->    List[Any]:
         '''simple docstring'''

         UpperCAmelCase_											=SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name       )
         return cls



      def 	lowerCAmelCase__    (	self:						Tuple       )						->    List[Any]:
         '''simple docstring'''

         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 	lowerCAmelCase__    (	self:						Optional[int]       )						->    int:
         '''simple docstring'''

         self.assertEqual(self.tokenizer.vocab_size		,  1_0000       )



      def 	lowerCAmelCase__    (	self:						int       )						->    int:
         '''simple docstring'''

         self.assertIn(_lowerCAmelCase		,  self.tokenizer.all_special_ids       )
         UpperCAmelCase_											=[ES_CODE, 4, 1601, 47, 7647, 2]
         UpperCAmelCase_											=self.tokenizer.decode(_lowerCAmelCase		,  skip_special_tokens=_lowerCAmelCase       )
         UpperCAmelCase_											=self.tokenizer.decode(generated_ids[1:]		,  skip_special_tokens=_lowerCAmelCase       )
         self.assertEqual(_lowerCAmelCase		,  _lowerCAmelCase       )
         self.assertNotIn(self.tokenizer.eos_token		,  _lowerCAmelCase       )



      def 	lowerCAmelCase__    (	self:						Optional[Any]       )						->    List[str]:
         '''simple docstring'''

         UpperCAmelCase_											="fr"
         UpperCAmelCase_											=self.tokenizer(self.french_text       ).input_ids
         self.assertEqual(encoded[0]		,  _lowerCAmelCase       )
         self.assertEqual(encoded[-1]		,  self.tokenizer.eos_token_id       )






      def 	lowerCAmelCase__    (	self:						Optional[int]       )						->    Any:
         '''simple docstring'''

         UpperCAmelCase_											="fr"
         self.assertListEqual(self.tokenizer.prefix_tokens		,  [FR_CODE]       )

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











import sys

from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

__lowercase  :   Optional[int]						      ="""python tqdm regex requests packaging filelock numpy tokenizers""".split()
if sys.version_info < (3, 7):
     pkgs_to_check_at_runtime.append("""dataclasses""")
if sys.version_info < (3, 8):
     pkgs_to_check_at_runtime.append("""importlib_metadata""")

for pkg in pkgs_to_check_at_runtime:
     if pkg in deps:
          if pkg == "tokenizers":
               # must be loaded here, or else tqdm check may fail
               from .utils import is_tokenizers_available

               if not is_tokenizers_available():
                    continue  # not required, check version only if installed

          require_version_core(deps[pkg])
     else:
          raise ValueError(f"""can't find {pkg} in {deps.keys()}, check dependency_versions_table.py""")




def     a__ (					lowercase__  ,    lowercase__=None  ):






   '''simple docstring'''






   require_version(deps[pkg]  ,    lowercase__  )




